{"id":"W1882637903","doi":"10.1111/cobi.12070","title":"A Big Resource with Big Gaps","year":2013,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wildlife; Wildlife management; Library science; Reading (process); Operations research; Geography; Computer science; Environmental ethics; Ecology; Engineering; Political science; Biology; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004057294,0.001250067,0.001961762,0.004447628,0.004319353,0.01873174,0.003409364,0.004729206,0.3779811],"category_scores_gemma":[0.02290992,0.0009762955,0.001343954,0.00518629,0.002693228,0.01889354,0.01474193,0.006500142,0.2997652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001857917,"about_ca_system_score_gemma":0.005430277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001897232,"about_ca_topic_score_gemma":0.002911953,"domain_scores_codex":[0.9964386,0.0008543892,0.0002931322,0.0005500841,0.001543478,0.0003203196],"domain_scores_gemma":[0.9869233,0.003696323,0.0007769683,0.002144703,0.003831712,0.002626982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001381515,0.00001206734,0.00004083964,0.0002323293,0.000006231314,0.00008359268,0.0001736417,0.00002160277,0.00004905769,0.005961437,0.9110771,0.08232826],"study_design_scores_gemma":[0.000001264127,0.000002895469,0.00002653557,0.000249812,0.000001714514,0.00008643266,0.0001058456,0.000004987312,0.000007872737,0.001337968,0.9981706,0.000004058296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0007707778,0.1026555,0.00745865,0.1811496,0.1324651,0.0002695632,0.005015221,0.004598688,0.565617],"genre_scores_gemma":[0.007504539,0.06708448,0.01480552,0.09980629,0.03321711,0.0005311987,0.006814407,0.005313132,0.7649233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3779811,"threshold_uncertainty_score":0.8872345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570231801841806,"score_gpt":0.204106804271086,"score_spread":0.188404486252668,"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."}}