{"id":"W2097355192","doi":"10.1139/f05-211","title":"Spatial evidence for information exchange and competition in the Gulf of St. Lawrence snow crab (<i>Chionoecetes opilio</i>) fishery","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Fishing; Fishery; Competition (biology); Abundance (ecology); Snow; Fisheries management; Spatial ecology; Spatial distribution; Environmental science; Oceanography; Geography; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"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":[0.002048346,0.0001692417,0.0003234408,0.001642317,0.001353427,0.001384419,0.0006109826,0.0007177397,0.003383991],"category_scores_gemma":[0.01642839,0.000363683,0.0002164726,0.001790013,0.002656371,0.001219832,0.002025126,0.0004369227,0.0002754154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146637,"about_ca_system_score_gemma":0.001169539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0760266,"about_ca_topic_score_gemma":0.1300896,"domain_scores_codex":[0.9978416,0.0007872176,0.000157391,0.0003460292,0.0005751448,0.0002926223],"domain_scores_gemma":[0.961637,0.0196075,0.01167303,0.00201261,0.003242149,0.001827648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000847341,0.0003781646,0.9630525,0.0001400191,0.0001888304,0.000423821,0.006188213,0.001115889,0.003741278,0.003415413,0.0009558108,0.01955266],"study_design_scores_gemma":[0.00002868047,0.0001345778,0.9937921,0.00002576207,0.00002903704,0.0001957711,0.002441712,0.001290448,0.0002670609,0.001008533,0.0007621237,0.00002423723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966515,0.0001150077,0.0001539637,0.0001642443,0.000001541153,0.000003673347,0.0000680525,0.00000363006,0.002838422],"genre_scores_gemma":[0.9995091,0.00004280343,0.0001750194,0.00002006405,0.000003075825,0.000005478285,0.00006800307,0.000001552643,0.0001748206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9239734,"threshold_uncertainty_score":0.1511681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005329916747144,"score_gpt":0.2440997433874547,"score_spread":0.2140464442199833,"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."}}