{"id":"W7071618066","doi":"","title":"Summary information on Greenland halibut distribution in NAFO Subarea 2 and Divisions 3KLMNO","year":2016,"lang":"en","type":"report","venue":"Open University of Cape Town (University of Cape Town)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Halibut; Flemish; Distribution (mathematics); Fish <Actinopterygii>; Spatial distribution; Snow","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":[0.0003777785,0.0005391584,0.0003155434,0.006492192,0.000549197,0.0006454628,0.0004795895,0.0001584261,0.03329369],"category_scores_gemma":[0.0008803416,0.0001798305,0.0002233959,0.008291077,0.0001199986,0.0003859035,0.0004170921,0.0001999124,0.007519924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002334676,"about_ca_system_score_gemma":0.003182281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.444777,"about_ca_topic_score_gemma":0.5254374,"domain_scores_codex":[0.9996081,0.00001687614,0.00003669442,0.00005924605,0.0001931431,0.00008595646],"domain_scores_gemma":[0.9987876,0.00008612072,0.0002141357,0.00005001107,0.0007667132,0.00009558293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003724923,0.000143715,0.2705953,0.001698842,0.0001202969,0.0006106379,0.001387291,0.001636782,0.003068057,0.001199546,0.5480588,0.1711083],"study_design_scores_gemma":[0.0000208028,0.00005181484,0.6302058,0.0002583347,0.00001750125,0.0001063797,0.001107024,0.0002043614,0.0006930458,0.0001357288,0.3671813,0.00001796434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06095346,0.001395149,0.0003962718,0.0002419643,0.00007953762,0.000233372,0.8792149,0.0002667946,0.05721854],"genre_scores_gemma":[0.07703437,0.002692891,0.00185831,0.0001378897,0.00005711771,0.0004670042,0.8464298,0.00009908939,0.07122353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.444777,"threshold_uncertainty_score":0.8843762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223957295037884,"score_gpt":0.2318056873938696,"score_spread":0.2094099578900812,"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."}}