{"id":"W7071421090","doi":"","title":"7th Patras Workshop on Axions, WIMPs and WISPs","year":2011,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"European Social Fund; Deutsches Elektronen-Synchrotron; Natural Sciences and Engineering Research Council of Canada; General Secretariat for Research and Technology; Lawrence Livermore National Laboratory; Ministerio de Ciencia e Innovación; Generalitat de Catalunya; Bundesministerium für Bildung und Forschung; CERN; Deutsche Forschungsgemeinschaft; Science and Technology Facilities Council; Dynasty Foundation; National Research Foundation; U.S. Department of Energy; European Commission; Alexander von Humboldt-Stiftung; Office of Naval Research; Türkiye Atom Enerjisi Kurumu; University of Patras; Universität Zürich; National Aeronautics and Space Administration; National Science Foundation","keywords":"Feature (linguistics); Field (mathematics); Margin (machine learning); Pipeline (software); Window (computing)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002892846,0.001742409,0.00124815,0.001282552,0.001546643,0.005703249,0.002176937,0.001831553,0.1629281],"category_scores_gemma":[0.002557544,0.001053686,0.001277162,0.001452709,0.0007960442,0.005646918,0.004647754,0.003540021,0.07973403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898238,"about_ca_system_score_gemma":0.002047155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002005759,"about_ca_topic_score_gemma":0.003732873,"domain_scores_codex":[0.9983332,0.0004640021,0.00006404497,0.0002467415,0.0005997343,0.0002924031],"domain_scores_gemma":[0.9989196,0.0002355252,0.00003493752,0.0003821186,0.0002216548,0.0002063144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007276578,0.0002273703,0.000340131,0.0003678558,0.00006649121,0.0002477595,0.0001819042,0.004477168,0.00297229,0.1460298,0.5998772,0.2444844],"study_design_scores_gemma":[0.00008543214,0.00005215842,0.0004314542,0.0001937237,0.00003186028,0.0002182164,0.00006925173,0.008204603,0.00396799,0.06030796,0.9264008,0.00003646631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01494007,0.01664061,0.2148624,0.01367878,0.01304267,0.0003258912,0.006442484,0.02638596,0.6936811],"genre_scores_gemma":[0.06686587,0.009895457,0.1255464,0.001771987,0.003431994,0.0004315403,0.01626841,0.01783515,0.7579532],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1629281,"threshold_uncertainty_score":0.5450487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05924116399882766,"score_gpt":0.2397084813205522,"score_spread":0.1804673173217246,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}