{"id":"W4386149422","doi":"10.5281/zenodo.8281098","title":"ANIMA D6.10 - National Focal Points projects","year":2022,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"Office National d'études et de Recherches Aérospatiales; Innovation and Networks Executive Agency; Horizon 2020 Framework Programme","keywords":"Cardinal point; Focal point; Political science; Geography; Operations research; Engineering; Physics; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005569788,0.001417845,0.000680914,0.002233803,0.001504774,0.003304044,0.001533767,0.002109429,0.0669523],"category_scores_gemma":[0.002840132,0.0005497982,0.0008525228,0.001704897,0.0004000289,0.001480914,0.004828848,0.001253768,0.05197661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002572847,"about_ca_system_score_gemma":0.00795199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01533799,"about_ca_topic_score_gemma":0.01589218,"domain_scores_codex":[0.9965667,0.0008280098,0.0001085475,0.0004491076,0.001298115,0.0007495006],"domain_scores_gemma":[0.9965065,0.0002425982,0.0002009354,0.0003872824,0.001638987,0.001023675],"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":[0.001414935,0.0005997966,0.00746065,0.001195782,0.0001014885,0.0004521718,0.0008416838,0.003488817,0.01183834,0.073892,0.6287737,0.2699406],"study_design_scores_gemma":[0.00004765359,0.0001834873,0.003545978,0.0001158551,0.0000136779,0.0001136384,0.0001519665,0.0004108698,0.002014145,0.001923531,0.9914659,0.00001321423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01904055,0.00608411,0.03862042,0.00452943,0.002549631,0.001494939,0.06442319,0.006739928,0.8565179],"genre_scores_gemma":[0.1026768,0.00504678,0.09664955,0.002951605,0.0008784533,0.003387811,0.212638,0.006301947,0.5694691],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0669523,"threshold_uncertainty_score":0.2239777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1731130697594096,"score_gpt":0.4052615671340914,"score_spread":0.2321484973746818,"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."}}