{"id":"W6931495193","doi":"10.5281/zenodo.5618941","title":"Sebastidae","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mediterranean climate; Ridge; Continental shelf; Mediterranean sea; Range (aeronautics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00008604363,0.0008153633,0.0003231597,0.001087514,0.0007495536,0.0005049829,0.0003350277,0.0002305335,0.1038094],"category_scores_gemma":[0.0002490385,0.0001213007,0.0001385819,0.0009802445,0.000264502,0.0005957981,0.0006989404,0.0003212157,0.04218751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003116665,"about_ca_system_score_gemma":0.0003590517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007737222,"about_ca_topic_score_gemma":0.01987553,"domain_scores_codex":[0.9998983,0.00001087362,0.00001203967,0.0000381708,0.00001874354,0.0000218395],"domain_scores_gemma":[0.99992,0.000007242255,0.00002196863,0.000008474139,0.00002928116,0.00001302028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005650484,0.0002347759,0.1298989,0.0008174736,0.00009087876,0.001514192,0.002310723,0.0002024663,0.006267833,0.009647341,0.08282039,0.7656301],"study_design_scores_gemma":[0.00007601122,0.00008139282,0.09802812,0.0004315554,0.0000348357,0.001122549,0.001298549,0.0001030817,0.0004466856,0.001613281,0.8967517,0.00001231018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2363313,0.01460957,0.002479385,0.001075499,0.00125773,0.000326586,0.01553891,0.001614313,0.7267667],"genre_scores_gemma":[0.589542,0.00689172,0.003365708,0.0009698722,0.0002543617,0.0002483733,0.01299471,0.0002827538,0.3854505],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1038094,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04217100453692391,"score_gpt":0.2619961846207324,"score_spread":0.2198251800838085,"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."}}