{"id":"W7097971896","doi":"","title":"Canadian Industry Report of Fisheries and Aquatic Sciences 274","year":2003,"lang":"en","type":"article","venue":"","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aquatic animal; Fisheries Research; Aquatic science; Aquatic ecosystem; Shellfish; Aquatic environment","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":[0.001079604,0.0008495981,0.0003792775,0.008431941,0.002602441,0.001889923,0.001082067,0.0008664989,0.04634437],"category_scores_gemma":[0.001935543,0.0005074397,0.0006393364,0.01080688,0.0003968203,0.0006783424,0.0007609494,0.0008491632,0.009638508],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01336184,"about_ca_system_score_gemma":0.1025893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9722192,"about_ca_topic_score_gemma":0.9793046,"domain_scores_codex":[0.9980774,0.0000465013,0.0000976534,0.00007842713,0.001484526,0.000215508],"domain_scores_gemma":[0.9929351,0.0001421457,0.0001449298,0.0001197112,0.006262281,0.000395801],"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":[0.00008225973,0.0001098137,0.01326021,0.0004057915,0.00003392832,0.0001923839,0.0001300439,0.0003663902,0.0009022535,0.00288363,0.9067283,0.07490499],"study_design_scores_gemma":[0.0000122749,0.0000141499,0.04696397,0.00009547592,0.00002451136,0.00004211484,0.0001723749,0.0002028478,0.000489273,0.0001455973,0.9518211,0.00001635916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01461567,0.01049815,0.001463474,0.01105623,0.003816743,0.001068237,0.2764649,0.0009166147,0.6801],"genre_scores_gemma":[0.02043707,0.01191921,0.003889546,0.001146831,0.0002000108,0.0002698799,0.100667,0.0001211691,0.8613492],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9866381,"threshold_uncertainty_score":0.1550373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541345978465035,"score_gpt":0.2336802893062948,"score_spread":0.2182668295216445,"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."}}