{"id":"W4308880999","doi":"10.15381/rivep.v33i5.23787","title":"Outcrossing y selección de cuyes mejorados de la región Cajamarca para producir descendencia superior con altos índices de mérito genético","year":2022,"lang":"es","type":"article","venue":"Revista de Investigaciones Veterinarias del Perú","topic":"Agricultural and Food Production Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biology; Animal science; Outcrossing; Humanities; Art; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002492948,0.0008123881,0.0009293933,0.00007014605,0.004187072,0.001772136,0.0009610882,0.0003606679,0.0003239469],"category_scores_gemma":[0.0007759261,0.0004619148,0.0004235342,0.001014517,0.001219145,0.0004825849,0.0008484447,0.001058511,0.00004069708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009451922,"about_ca_system_score_gemma":0.0005045458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001532937,"about_ca_topic_score_gemma":0.00004179305,"domain_scores_codex":[0.9931055,0.002358668,0.0009128719,0.001363668,0.0006887054,0.001570559],"domain_scores_gemma":[0.9977308,0.0004699623,0.0005372505,0.0003503866,0.0002532139,0.0006584107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005369658,0.0005805399,0.1668233,0.0009146128,0.0003948717,0.0005146677,0.01389333,0.0004503086,0.7948176,0.002691323,0.00613012,0.01225235],"study_design_scores_gemma":[0.0008655741,0.002591625,0.3582072,0.0006842359,0.0006371668,0.008883467,0.01982079,0.001193298,0.007427122,0.001045876,0.5962498,0.002393842],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696653,0.01454218,0.00003601295,0.01412239,0.0002867317,0.0007750797,0.0002067764,0.0002635891,0.0001019101],"genre_scores_gemma":[0.991827,0.002136004,0.001987896,0.00134844,0.001532717,0.0003805055,0.00008685773,0.00002289094,0.0006776727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7873905,"threshold_uncertainty_score":0.9997833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04720808774328474,"score_gpt":0.2884069359622182,"score_spread":0.2411988482189334,"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."}}