{"id":"W7103492343","doi":"","title":"canada goose","year":2024,"lang":"","type":"article","venue":"Fisher Digital Publications (St. John Fisher College)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Goose; Natural (archaeology); Fishing; Population","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"category_scores_codex":[0.001074204,0.002549529,0.001711314,0.002527134,0.001568933,0.02158673,0.004249632,0.001104117,0.03041622],"category_scores_gemma":[0.001863161,0.002901589,0.00115458,0.01920976,0.001054541,0.01743787,0.001598212,0.002646896,0.01615364],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.008603689,"about_ca_system_score_gemma":0.03459413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1538454,"about_ca_topic_score_gemma":0.5700091,"domain_scores_codex":[0.9836973,0.0004050792,0.003576979,0.004543848,0.003884411,0.003892404],"domain_scores_gemma":[0.9872129,0.001393603,0.0007211526,0.005274817,0.002548917,0.002848591],"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":[0.00007977984,0.001179435,0.004199984,0.000453795,0.001615018,0.0003360722,0.0002256378,0.00005237863,0.00001687132,0.02268291,0.9606383,0.008519785],"study_design_scores_gemma":[0.001269151,0.0001726411,0.009205427,0.0004768236,0.0005120721,0.0003780553,0.0006591138,0.005926992,0.00003292587,0.002217334,0.9760931,0.003056361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003881222,0.004188412,0.0002016375,0.08822525,0.006418651,0.003717913,0.1853191,0.002725117,0.7053227],"genre_scores_gemma":[0.5644516,0.00008521646,0.0002110847,0.00226261,0.001565384,0.001209614,0.007920043,0.001254619,0.4210398],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5605704,"threshold_uncertainty_score":0.9997309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507441002619695,"score_gpt":0.2253132475171969,"score_spread":0.210238837491,"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."}}