{"id":"W2731761143","doi":"10.29173/cais875","title":"Welcome from the CAIS/ACSI &amp; LRI/IRB Conference Co-Chairs","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008233987,0.001930622,0.002066464,0.00188788,0.003599392,0.009795131,0.001972983,0.006201956,0.3638077],"category_scores_gemma":[0.01855311,0.00074535,0.001483475,0.001010969,0.001041134,0.003584428,0.008333977,0.00839909,0.2877513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002766656,"about_ca_system_score_gemma":0.00921175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003517776,"about_ca_topic_score_gemma":0.009989387,"domain_scores_codex":[0.9923773,0.001149791,0.0002715572,0.0009396731,0.003782322,0.001479483],"domain_scores_gemma":[0.9302821,0.00132496,0.001364382,0.0008158626,0.02169388,0.04451876],"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":[0.0000668905,0.00002246542,0.00008244396,0.00004665028,0.000002582653,0.00003780039,0.0000212713,0.00003143274,0.0001988679,0.0003274801,0.9928807,0.006281339],"study_design_scores_gemma":[0.00004459828,0.00004533111,0.0006783219,0.00006393401,0.000004414211,0.00005217619,0.0002462908,0.00008339671,0.00008644819,0.0004219693,0.998252,0.00002109869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001244866,0.009033887,0.002393733,0.2311566,0.6323244,0.0009049519,0.002638017,0.001040123,0.1192633],"genre_scores_gemma":[0.005735819,0.003062638,0.001512831,0.03531297,0.1149965,0.0007995055,0.001812823,0.0009420558,0.8358248],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3638077,"threshold_uncertainty_score":0.9074511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0324590253793411,"score_gpt":0.2549149139117313,"score_spread":0.2224558885323902,"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."}}