{"id":"W1870526181","doi":"10.1651/s-2771.1","title":"Individual Identification of Decapod Crustaceans II: Natural and Genetic Markers in Snow Crab (Chionoecetes Opilio)","year":2007,"lang":"en","type":"article","venue":"Journal of Crustacean Biology","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Fisheries and Oceans Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Adobe Systems","keywords":"Biology; Crustacean; Carapace; Identification (biology); Mating; Zoology; Moulting; Snow; Decapoda; Ecology; Microsatellite; Natural (archaeology); Fishery; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001326998,0.0001460723,0.000162719,0.0007637223,0.0002722587,0.0002873545,0.000184248,0.0002690804,0.001000755],"category_scores_gemma":[0.0003914916,0.0001326232,0.000132352,0.0002958,0.0002366274,0.0001757913,0.0004533408,0.0002085826,0.0002862326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453953,"about_ca_system_score_gemma":0.0001124782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001657028,"about_ca_topic_score_gemma":0.005740631,"domain_scores_codex":[0.9998766,0.00001055269,0.00001088984,0.000051046,0.00002866547,0.00002231896],"domain_scores_gemma":[0.9996469,0.00003449939,0.0001331953,0.00002888096,0.00006443725,0.00009200241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001559066,0.00008027953,0.583917,0.00007196423,0.00003740733,0.0001880239,0.0007217035,0.0001473201,0.3965785,0.00005370339,0.00005956119,0.01798875],"study_design_scores_gemma":[0.000003331263,0.00011691,0.9925633,0.000005129257,0.00001059736,0.0003097227,0.0002510669,0.0002019564,0.006261719,0.00002469761,0.0002467526,0.000004952343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995031,0.00004984894,0.0001741305,0.000002850223,9.424367e-7,0.000003994574,0.00005604437,0.000002705546,0.0002062765],"genre_scores_gemma":[0.9977502,0.00004599546,0.001523822,0.00001086622,0.00000129156,0.00001577537,0.0001898242,0.000002803946,0.0004593538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001657028,"threshold_uncertainty_score":0.003347874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009194805499848125,"score_gpt":0.250972010677935,"score_spread":0.2417772051780869,"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."}}