{"id":"W7098987528","doi":"","title":"Purple Martin Progne subis Last updated: 2003","year":2012,"lang":"en","type":"article","venue":"","topic":"Literature Analysis and Criticism","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breed; Range (aeronautics); Population; Distribution (mathematics); Historical record","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":[0.0004622355,0.0004146899,0.0003172171,0.003075721,0.001003598,0.000794009,0.001063409,0.0009213471,0.02513474],"category_scores_gemma":[0.001344919,0.0002512308,0.0001391678,0.002595482,0.0005666683,0.00111642,0.0005913551,0.0008028387,0.01483034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306998,"about_ca_system_score_gemma":0.001241072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04123674,"about_ca_topic_score_gemma":0.09039827,"domain_scores_codex":[0.9997463,0.00002521811,0.00004279636,0.00004395052,0.0001164434,0.00002528173],"domain_scores_gemma":[0.9989968,0.00009491517,0.0001289396,0.00006922824,0.000646217,0.00006387617],"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":[0.00004622474,0.00001869484,0.001734387,0.001310267,0.000006277467,0.000232831,0.0007501782,0.00003943197,0.0004647515,0.001891576,0.8574601,0.1360453],"study_design_scores_gemma":[0.000001367171,0.000007306633,0.003837647,0.0002763801,0.000004886661,0.0001228009,0.0001867185,0.000008027399,0.00009792066,0.00005702697,0.9953976,0.000002325719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01534612,0.0775455,0.001484365,0.02790128,0.04834012,0.0003816111,0.03182047,0.0006704648,0.79651],"genre_scores_gemma":[0.051567,0.05250601,0.002641249,0.007835346,0.005406108,0.0002527472,0.01163708,0.0001175204,0.868037],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9748653,"threshold_uncertainty_score":0.08408409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025206759239944,"score_gpt":0.2670475213307494,"score_spread":0.2567954537383499,"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."}}