{"id":"W4382988075","doi":"10.32907/ro-136-4733217943","title":"10.32907/RO-136-4733217943","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fishery; Fish stock; Fish <Actinopterygii>; State (computer science); Business; Biology; Mathematics","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":["insufficient_payload"],"category_scores_codex":[0.00115501,0.00136736,0.001119964,0.001450214,0.001562061,0.003739987,0.001175414,0.003187449,0.9847209],"category_scores_gemma":[0.001509927,0.0007007108,0.0005374405,0.001449613,0.0009579718,0.002543491,0.002905696,0.001512054,0.9895743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146591,"about_ca_system_score_gemma":0.00106591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004339048,"about_ca_topic_score_gemma":0.005682627,"domain_scores_codex":[0.9994173,0.00005091328,0.00004242636,0.0001819471,0.0001830983,0.0001243664],"domain_scores_gemma":[0.9979154,0.000304795,0.0001313665,0.0002916913,0.0004403252,0.0009164807],"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":[0.0003253083,0.0002540805,0.001371632,0.0003462278,0.00002059063,0.000173047,0.0001324408,0.0002347501,0.003829081,0.005327077,0.5428356,0.4451502],"study_design_scores_gemma":[0.00003009847,0.00004498508,0.001020935,0.0001275635,0.000007847427,0.0001339767,0.0001248301,0.0001289661,0.0003496591,0.0003314031,0.9976877,0.00001199745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006832045,0.0001995656,0.0004664194,0.0004897559,0.0001921694,0.00007395739,0.00157888,0.0009140146,0.9954021],"genre_scores_gemma":[0.001309052,0.0001115874,0.0001980692,0.0001977061,0.00003519566,0.00002304774,0.0006272505,0.0002146446,0.9972835],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01527911,"threshold_uncertainty_score":0.02179378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006064171489071383,"score_gpt":0.1830682939992043,"score_spread":0.1770041225101329,"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."}}