{"id":"W2106396948","doi":"","title":"INITIAL USE OF MOOSE CALF HUNTS TO INCREASE YIELD, ALASKA","year":2004,"lang":"en","type":"article","venue":"Alces","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hunting season; Population; Biology; Animal science; Cow-calf; Yield (engineering); Mandate; Fishery; Geography; Agricultural science; Demography","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":[],"consensus_categories":[],"category_scores_codex":[0.001262567,0.0002091643,0.0001302021,0.0004802434,0.0006692586,0.0006079429,0.0004836459,0.0002218526,0.002533378],"category_scores_gemma":[0.001895608,0.0001454943,0.0001547218,0.0002645106,0.0002715393,0.0003784755,0.0005468227,0.0002737188,0.000374509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006404882,"about_ca_system_score_gemma":0.0006766633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01903915,"about_ca_topic_score_gemma":0.104744,"domain_scores_codex":[0.9995434,0.000130108,0.00003595251,0.00009471312,0.0001341518,0.00006158664],"domain_scores_gemma":[0.9991812,0.0002028404,0.0001597418,0.0001205921,0.0001640412,0.0001715943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006493249,0.0007094415,0.7398553,0.0003361886,0.0001458936,0.001096,0.005162387,0.001124299,0.03856252,0.0009431074,0.00291358,0.2085019],"study_design_scores_gemma":[0.00001152589,0.0009693951,0.9736949,0.0001028406,0.00004069917,0.0003558066,0.001438056,0.0007024207,0.006269492,0.0001417918,0.01625262,0.00002051368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852584,0.0004699297,0.0009612162,0.00007092259,0.0000169776,0.00008377725,0.000209437,0.00009318653,0.01283613],"genre_scores_gemma":[0.9900686,0.0004783398,0.003205683,0.00008721788,0.00001168143,0.0000881701,0.0003122344,0.00001481143,0.00573331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01903915,"threshold_uncertainty_score":0.03785664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02565477311916825,"score_gpt":0.2662707668083121,"score_spread":0.2406159936891439,"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."}}