{"id":"W6913049365","doi":"10.5683/sp3/dinhmc","title":"Replication Data for Elk harvests","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Replication (statistics); Predator; Biodiversity; Predation; Mechanism (biology)","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":[0.004836946,0.001876177,0.001943748,0.003420115,0.00158787,0.002540042,0.003584256,0.002004133,0.1680476],"category_scores_gemma":[0.03137673,0.0008605554,0.001903604,0.006457974,0.000579977,0.001230511,0.002068586,0.002086909,0.09735834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002756421,"about_ca_system_score_gemma":0.006421564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08007245,"about_ca_topic_score_gemma":0.1244076,"domain_scores_codex":[0.9951697,0.0008089992,0.0008732202,0.001464321,0.001090502,0.0005932429],"domain_scores_gemma":[0.9844263,0.003224934,0.001175451,0.004120888,0.006493103,0.0005593676],"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":[0.0002466029,0.00002966656,0.001991698,0.001320971,0.000124578,0.00002287824,0.00005477277,0.0002510761,0.0001390059,0.0006366873,0.9904251,0.004757019],"study_design_scores_gemma":[0.0009675652,0.00004430244,0.01471565,0.0008719683,0.0001651158,0.00004289135,0.0001408839,0.0002131928,0.0002867046,0.002010664,0.9804773,0.00006373689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001851794,0.00005629246,0.0001067439,0.00004928818,0.00004404474,0.0000668707,0.9982815,0.000139647,0.001070371],"genre_scores_gemma":[0.001747033,0.00006129252,0.0006881744,0.0000972421,0.00002479589,0.0009103398,0.992469,0.0001603108,0.003841797],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1680476,"threshold_uncertainty_score":0.5621752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09249245402042736,"score_gpt":0.3629918061048867,"score_spread":0.2704993520844594,"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."}}