{"id":"W6960727711","doi":"10.14288/1.0432193","title":"[Vancouver by night, from Grouse Mountain]","year":2023,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grouse; Moorland; Habitat; Population; Predation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001178867,0.0006956563,0.0003537862,0.0008591822,0.003383555,0.001930889,0.0005543232,0.0007648012,0.6393257],"category_scores_gemma":[0.000338372,0.0003955197,0.0002566656,0.00169682,0.0003170635,0.0006264084,0.0006143944,0.001444599,0.3509517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003249755,"about_ca_system_score_gemma":0.002954996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5873706,"about_ca_topic_score_gemma":0.9091828,"domain_scores_codex":[0.9998515,0.00000659125,0.000003919514,0.00003002785,0.00006986207,0.00003815587],"domain_scores_gemma":[0.9997459,0.000007267712,0.000005247998,0.00001126649,0.00017574,0.00005452729],"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":[0.00001078296,0.000003596648,0.0001585969,0.00003675771,9.426185e-7,0.00003660837,0.00004197478,0.0000189208,0.0001441203,0.0002308091,0.9866048,0.0127122],"study_design_scores_gemma":[0.000002378578,0.000002343319,0.002040289,0.00003588206,7.669161e-7,0.00001931033,0.0001147347,0.00000807363,0.0000439471,0.00003497189,0.9976942,0.000002968466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008916745,0.001054525,0.0001860731,0.001545297,0.001325737,0.00008742128,0.008199123,0.0003514832,0.9863587],"genre_scores_gemma":[0.001839341,0.0005026082,0.0001653527,0.0002249584,0.00004047103,0.00001307251,0.002167835,0.0001399872,0.9949064],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6393257,"threshold_uncertainty_score":0.830119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006183583789410421,"score_gpt":0.1369521019017934,"score_spread":0.130768518112383,"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."}}