{"id":"W7071246447","doi":"","title":"Report of the Working Group on the Application of Genetics in Fisheries and Mariculture [Halifax, Canada, 18- 20 March, 2002]","year":2002,"lang":"en","type":"report","venue":"Duo Research Archive (University of Oslo)","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mariculture; Group (periodic table); Fish <Actinopterygii>; Work (physics); Aquatic animal","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":[0.007231644,0.001810605,0.0008019204,0.004812554,0.002651833,0.004073706,0.003802885,0.004379814,0.04156206],"category_scores_gemma":[0.00618452,0.0006693113,0.000870515,0.004352244,0.001222703,0.001430516,0.001641924,0.002563862,0.01833357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01262498,"about_ca_system_score_gemma":0.05678006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7221271,"about_ca_topic_score_gemma":0.6490455,"domain_scores_codex":[0.995558,0.0004438362,0.0002755466,0.0004089054,0.002713203,0.0006004403],"domain_scores_gemma":[0.9843469,0.0006406283,0.0005587505,0.0007019599,0.01170948,0.002042304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005554168,0.0000569382,0.001322803,0.0002324513,0.00001023002,0.0000790394,0.0001251108,0.000274852,0.0008062369,0.001581256,0.9549207,0.04053491],"study_design_scores_gemma":[0.000009611401,0.00002338489,0.005956733,0.0001922386,0.000008870141,0.00003880708,0.000128055,0.00008699286,0.0004663923,0.0003360676,0.9927331,0.00001981425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008984262,0.03943577,0.01951646,0.1156694,0.04111733,0.006351559,0.1447814,0.004546761,0.6195971],"genre_scores_gemma":[0.01005338,0.01241014,0.01791761,0.01103243,0.001992947,0.001226555,0.04795552,0.001034337,0.896377],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2778729,"threshold_uncertainty_score":0.5590186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05203944919977472,"score_gpt":0.2510652272628564,"score_spread":0.1990257780630817,"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."}}