{"id":"W7101158057","doi":"","title":"Developing an Environmentally Responsible Irritant for the British Columbia Octopus Dive Fishery","year":2010,"lang":"en","type":"article","venue":"","topic":"Musicology and Musical Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"octopus (software); Fishing; Fishing industry; Government (linguistics); Declaration","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":[0.001587156,0.0004299146,0.0002181726,0.0008936879,0.003847322,0.001516157,0.0007216588,0.001147151,0.005119395],"category_scores_gemma":[0.001129,0.0001635582,0.0003239179,0.0002893103,0.0009606494,0.0006235318,0.001691384,0.0007755964,0.0006568375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004046836,"about_ca_system_score_gemma":0.006166758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1750312,"about_ca_topic_score_gemma":0.3859216,"domain_scores_codex":[0.9990931,0.0002075041,0.00004012045,0.0000661925,0.000417936,0.0001751951],"domain_scores_gemma":[0.9992762,0.0000739828,0.00007877485,0.00003562875,0.0004328062,0.000102701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002184427,0.006676028,0.07382978,0.002726753,0.0001480829,0.006357072,0.008372406,0.007147816,0.4716455,0.007552961,0.01547179,0.3978874],"study_design_scores_gemma":[0.0004108647,0.02617296,0.2068123,0.001569744,0.0006621722,0.003658058,0.05022383,0.01177722,0.4044812,0.002947207,0.2909881,0.0002962657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371529,0.001197525,0.005524547,0.004432829,0.000111209,0.001319907,0.0001241362,0.0001228881,0.05001416],"genre_scores_gemma":[0.9301443,0.001739856,0.0178137,0.00126391,0.00002549336,0.0002654246,0.0001414797,0.00002420892,0.0485815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8249688,"threshold_uncertainty_score":0.3480248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03583622140653816,"score_gpt":0.2286148144180521,"score_spread":0.1927785930115139,"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."}}