{"id":"W6901973100","doi":"10.60825/c6se-tv59","title":"Stock Status Update for American Lobster (Homarus Americanus) in Lobster Fishing Areas 27-32 for 2023","year":2025,"lang":"en","type":"report","venue":"Fisheries and Oceans Canada / Pêches et Océans Canada - Publications","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Fishing; Stock (firearms); Overfishing; Fish stock; Stock assessment; Fisheries management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001015795,0.0005191539,0.0002529518,0.003469137,0.0003208025,0.0007621842,0.0007947376,0.000363816,0.01069389],"category_scores_gemma":[0.00165913,0.0001828128,0.0004150041,0.003127528,0.00006840441,0.0004745018,0.0004228718,0.0004195091,0.007100277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527937,"about_ca_system_score_gemma":0.003100547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4143569,"about_ca_topic_score_gemma":0.4489998,"domain_scores_codex":[0.9993595,0.00002464189,0.00007004612,0.00004798675,0.000420829,0.00007695403],"domain_scores_gemma":[0.9958432,0.00009792658,0.0004326182,0.00007585054,0.003313292,0.0002370652],"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":[0.0002642706,0.0001383233,0.1586514,0.000639432,0.00009302558,0.0001598082,0.0001739389,0.0008301522,0.0008418107,0.0006007653,0.7051562,0.132451],"study_design_scores_gemma":[0.0000369008,0.0001170659,0.5136623,0.0004540395,0.00007493918,0.0001800754,0.000304195,0.0006383075,0.0009487608,0.0001486705,0.4834017,0.00003296587],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.04948043,0.004076622,0.001208988,0.001172192,0.0008804022,0.0004763055,0.8720578,0.0007903281,0.06985699],"genre_scores_gemma":[0.08589037,0.004224106,0.00423678,0.0006249357,0.0001912835,0.0007787701,0.8436313,0.00009115887,0.06033134],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5856432,"threshold_uncertainty_score":0.8238901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03165560602508366,"score_gpt":0.2771305195996702,"score_spread":0.2454749135745865,"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."}}