{"id":"W1526198720","doi":"10.4141/cjas09300","title":"Abstract","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"Selection (genetic algorithm); Animal breeding; Livestock; Population; Quality (philosophy); Composition (language); Animal welfare; Variation (astronomy)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001210582,0.0007718336,0.0005949439,0.001459732,0.002068265,0.004266127,0.001640713,0.002122749,0.4857648],"category_scores_gemma":[0.003592286,0.0002531561,0.000736138,0.001508803,0.0006537112,0.002139811,0.003115764,0.001586408,0.3331752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001878996,"about_ca_system_score_gemma":0.002976198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004114427,"about_ca_topic_score_gemma":0.004160335,"domain_scores_codex":[0.9987261,0.0001655248,0.00008457804,0.0002649821,0.0005774972,0.0001813625],"domain_scores_gemma":[0.9979749,0.0001698427,0.00007466292,0.0002948341,0.001053675,0.000431936],"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":[0.0002088089,0.0001318774,0.001806533,0.0004004674,0.00002069031,0.0004460121,0.0004709889,0.0002786731,0.001451347,0.04402877,0.6300006,0.3207553],"study_design_scores_gemma":[0.00001047821,0.00003211225,0.0009103349,0.0001080719,0.000005754988,0.0002202382,0.0001806007,0.0000965873,0.0003446816,0.004936515,0.9931463,0.000008490103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004482887,0.003660145,0.009703077,0.01304543,0.008121228,0.0003563137,0.008269222,0.0018018,0.95056],"genre_scores_gemma":[0.02891041,0.003008526,0.006287966,0.004879819,0.001186276,0.0002405099,0.009184104,0.000541189,0.9457612],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5142352,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436734098570537,"score_gpt":0.2326577733214266,"score_spread":0.2182904323357212,"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."}}