{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001327471,0.0006798577,0.00160082,0.001197529,0.0006043921,0.00008867077,0.002106276,0.0009383567,0.002996765],"category_scores_gemma":[0.0002172407,0.0008298967,0.0003892575,0.0008565095,0.0008999021,0.003989817,0.002295556,0.0007388473,0.0003323756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001731561,"about_ca_system_score_gemma":0.001868448,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04337604,"about_ca_topic_score_gemma":0.01522441,"domain_scores_codex":[0.9959338,0.0003332411,0.0005555127,0.0008451092,0.001658809,0.0006734689],"domain_scores_gemma":[0.9950314,0.0003045451,0.001762346,0.00108618,0.001378241,0.0004373234],"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":[0.008749961,0.001215341,0.03677326,0.001431172,0.001538188,0.001106273,0.007468816,0.0001326327,0.0005130912,0.002685453,0.8284858,0.1099],"study_design_scores_gemma":[0.007377406,0.0006483446,0.12402,0.00244751,0.0007841725,0.00005553325,0.008795025,0.0002017732,0.00005413246,0.0001604457,0.8540562,0.001399404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3531016,0.000420828,0.001165666,0.001676492,0.0005829604,0.003696961,0.03242693,0.000223685,0.6067049],"genre_scores_gemma":[0.9118108,0.008389829,0.0005707864,0.00004617931,0.00008901694,5.363212e-7,0.01396365,0.000111823,0.06501739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5587092,"threshold_uncertainty_score":0.9994152,"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."}}