{"id":"W2309996022","doi":"10.5962/bhl.title.115349","title":"Alberta furbearer harvest data analysis /","year":2001,"lang":"en","type":"book","venue":"","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Alberta","keywords":"Geography","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001196508,0.001102318,0.000642132,0.003601913,0.0007419346,0.001919028,0.001526693,0.0003084113,0.09379049],"category_scores_gemma":[0.002139135,0.0008705279,0.0004664833,0.005356638,0.000267728,0.0007790898,0.0006993992,0.0007000297,0.06919338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003272216,"about_ca_system_score_gemma":0.006538094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6451442,"about_ca_topic_score_gemma":0.7598806,"domain_scores_codex":[0.9993377,0.0000307801,0.00003449523,0.00009531708,0.000419458,0.00008214331],"domain_scores_gemma":[0.9978321,0.0002251492,0.00007909747,0.0003423368,0.001379718,0.0001415311],"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":[0.000106132,0.00002844939,0.002347405,0.0000951991,0.0000222064,0.00004751512,0.00005768675,0.0007719409,0.001221096,0.001242749,0.8307796,0.1632801],"study_design_scores_gemma":[0.00007175175,0.00001611359,0.01927201,0.0001121424,0.0000516116,0.00009079117,0.000172269,0.00669965,0.006443765,0.002393998,0.9646218,0.00005403642],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.007314001,0.001157234,0.04302468,0.001043356,0.0004421608,0.0003733685,0.7285328,0.05421632,0.1638961],"genre_scores_gemma":[0.01593534,0.001241184,0.06466985,0.0003496223,0.00008100436,0.0002841946,0.6140466,0.009317392,0.2940748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3548558,"threshold_uncertainty_score":0.7138913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02251695559010768,"score_gpt":0.2572534075567519,"score_spread":0.2347364519666442,"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."}}