{"id":"W3112681199","doi":"10.29173/bluejay6296","title":"47th Saskatchewan Christmas Mammal Count - 2019","year":2020,"lang":"en","type":"article","venue":"Blue Jay","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mammal; Marine mammal; Geography; Ground squirrel; Zoology; Ecology; Biology; Squirrel monkey","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":[0.0004591492,0.0005397679,0.0002487044,0.001483567,0.001059193,0.001023131,0.0007050104,0.0005119847,0.0601991],"category_scores_gemma":[0.0008499264,0.0002670641,0.0002429466,0.00109272,0.0002134292,0.0003041377,0.001368567,0.0008261726,0.0202664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005145092,"about_ca_system_score_gemma":0.00780237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6984211,"about_ca_topic_score_gemma":0.918688,"domain_scores_codex":[0.9995902,0.000025912,0.00002156272,0.00004673364,0.0002063641,0.0001091396],"domain_scores_gemma":[0.998552,0.00003117779,0.00005361362,0.00005410394,0.000986279,0.000322821],"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":[0.0001745371,0.00006740911,0.05406104,0.0001081295,0.00003358166,0.0002501917,0.00006881131,0.0001638063,0.001190306,0.0006298066,0.863537,0.07971536],"study_design_scores_gemma":[0.00003780968,0.00005210401,0.374647,0.0001997911,0.00001896623,0.0002360945,0.0004706117,0.0005004631,0.001012013,0.0002881905,0.6224971,0.00003980559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1311079,0.002909147,0.001698309,0.01347246,0.005888335,0.0008137224,0.3712063,0.001255426,0.4716483],"genre_scores_gemma":[0.1433543,0.004223864,0.003276075,0.005116237,0.0005794083,0.0007558655,0.1484875,0.0002632077,0.6939436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3015789,"threshold_uncertainty_score":0.6067098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389772944752673,"score_gpt":0.2255067942234793,"score_spread":0.2116090647759525,"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."}}