{"id":"W7070482327","doi":"","title":"Quebec lobster fisheries: Management, fishing boats, equipment and working processes","year":2015,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fishing; Work (physics); Production (economics); Netting; Government (linguistics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001688763,0.0001241372,0.00008521001,0.00002571012,0.00005238331,0.0001330907,0.0001369481,0.00006893234,0.00002227406],"category_scores_gemma":[0.00009917573,0.0001065279,0.00001676983,0.00006571936,0.00004344895,0.00001059389,0.0002843213,0.00006480437,0.00001051064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000158931,"about_ca_system_score_gemma":0.00003736484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001479673,"about_ca_topic_score_gemma":0.0009687112,"domain_scores_codex":[0.9993199,0.00001826659,0.000163499,0.0001807601,0.00012785,0.0001897627],"domain_scores_gemma":[0.9995984,0.000008447165,0.00006262513,0.0001940457,0.00004858215,0.00008792659],"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":[0.0004549198,0.0002791343,0.3596023,0.002842637,0.0007529164,0.00004855941,0.008480711,0.0007595734,0.004117732,0.002656474,0.4536178,0.1663872],"study_design_scores_gemma":[0.0007981146,0.0001614671,0.00401352,0.00007862038,0.0000258109,0.0000197499,0.002107822,0.0005128407,0.004088182,0.0001125222,0.9877013,0.0003800433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6607944,0.0009409334,0.0187478,0.001620273,0.0003269201,0.000480309,0.000003565222,0.000113352,0.3169725],"genre_scores_gemma":[0.9596017,0.0001371297,0.01662653,0.001399134,0.0001330677,0.00002054646,0.00007050579,0.00002185817,0.02198951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5340835,"threshold_uncertainty_score":0.4344082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089359172146459,"score_gpt":0.2493929434187368,"score_spread":0.2284993516972722,"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."}}