{"id":"W6966903422","doi":"10.5061/dryad.547d7wm49","title":"Data from: Testing the importance of harvest refuges for phenotypic rescue of trophy hunted populations","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Trophy; Ovis canadensis; Hunting season; French horn; Seasonal breeder","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001791625,0.0003266197,0.0003461769,0.001179609,0.0007533223,0.001341734,0.0007920325,0.0006235479,0.03320204],"category_scores_gemma":[0.005410817,0.0001987447,0.0004108654,0.002272331,0.0004894765,0.0002418853,0.0005313749,0.0004062262,0.007381066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003859052,"about_ca_system_score_gemma":0.007599034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.731477,"about_ca_topic_score_gemma":0.8242715,"domain_scores_codex":[0.9989347,0.00006846595,0.00008832311,0.0001159743,0.0006703878,0.0001221242],"domain_scores_gemma":[0.9935302,0.001007402,0.0007811905,0.000484331,0.003669966,0.0005268759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00330819,0.0003523747,0.6880939,0.00182078,0.0004142825,0.000398821,0.001498968,0.0008303202,0.005263114,0.0004879467,0.1729619,0.1245694],"study_design_scores_gemma":[0.0001607966,0.0001282163,0.9616288,0.0003130375,0.000119717,0.00003848905,0.0004143967,0.0001819332,0.0006394527,0.00006952214,0.03628742,0.00001828473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3349382,0.002165909,0.001699312,0.001713696,0.0003797796,0.001683625,0.5856032,0.0004241055,0.07139218],"genre_scores_gemma":[0.5945995,0.001748116,0.004614372,0.001409789,0.0001279546,0.001462907,0.330455,0.0001329325,0.06544934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.731477,"threshold_uncertainty_score":0.5402087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1935707286106833,"score_gpt":0.3275880613459108,"score_spread":0.1340173327352275,"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."}}