{"id":"W3030009507","doi":"10.29173/bluejay5824","title":"Saskatchewan Christmas Mammal Count - 2001","year":2002,"lang":"en","type":"article","venue":"Blue Jay","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mammal; Geography; Computer science; Biology; Zoology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.000256532,0.000415433,0.0002131697,0.0009750108,0.0009222162,0.0004871696,0.0009887109,0.0002048082,0.01646188],"category_scores_gemma":[0.0006218855,0.0002810704,0.0001416735,0.0009686254,0.0002122649,0.0002893051,0.0006587203,0.0004564882,0.003567494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004385125,"about_ca_system_score_gemma":0.00455321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7109843,"about_ca_topic_score_gemma":0.9631647,"domain_scores_codex":[0.9998174,0.00001730794,0.00001026211,0.00004043331,0.00007673515,0.00003782088],"domain_scores_gemma":[0.9991602,0.00004723989,0.00008549977,0.00006402867,0.0004876574,0.0001554354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001288653,0.0002824779,0.7718498,0.0002090286,0.0002117313,0.0008631212,0.001049351,0.0008257564,0.01251446,0.001133027,0.08895473,0.1208179],"study_design_scores_gemma":[0.00002509262,0.00007275201,0.9630075,0.00002522369,0.00002657814,0.0001751825,0.0004707479,0.0003458378,0.002136383,0.00007596272,0.03362287,0.00001581691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8038269,0.0004306604,0.00147654,0.0007988315,0.0001534535,0.000279763,0.08922905,0.0003817967,0.103423],"genre_scores_gemma":[0.6821797,0.0009242745,0.004728882,0.000813208,0.00004670339,0.0003162683,0.0562757,0.0001450453,0.2545703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2890157,"threshold_uncertainty_score":0.5814354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05170229898254921,"score_gpt":0.2341789582485984,"score_spread":0.1824766592660492,"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."}}