{"id":"W2613567372","doi":"10.1002/ecy.1844","title":"The mystery of the missing warbler","year":2017,"lang":"en","type":"article","venue":"Ecology","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Birds Canada; University of Manitoba; University of Windsor","funders":"","keywords":"Warbler; Ecology; Content (measure theory); Geography; Computer science; Data science; Biology; Mathematics; Habitat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003745068,0.0003478422,0.0005927958,0.001252255,0.005187367,0.005474981,0.001155456,0.002707399,0.01738281],"category_scores_gemma":[0.01422283,0.0003488691,0.0002651357,0.0008336827,0.02459378,0.01741147,0.004493673,0.005151438,0.003609679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055016,"about_ca_system_score_gemma":0.00108802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001619267,"about_ca_topic_score_gemma":0.002907575,"domain_scores_codex":[0.9983553,0.000753478,0.00006414016,0.0003918669,0.0002722427,0.0001629687],"domain_scores_gemma":[0.9966788,0.001547338,0.0001686927,0.0008430567,0.0004663927,0.0002957912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002859686,0.00000744879,0.0004546134,0.00004084168,0.000006761128,0.0001062996,0.005126846,0.00008422706,0.0001647102,0.9536626,0.02029643,0.02002058],"study_design_scores_gemma":[0.000006200322,0.000009248599,0.0004650005,0.0001090013,0.000004351959,0.0003234826,0.003927307,0.0001909501,0.0001897426,0.8464793,0.1482834,0.00001207975],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08928347,0.01929137,0.04782741,0.2765001,0.006129978,0.00003652753,0.0006981512,0.0007507422,0.5594823],"genre_scores_gemma":[0.9170547,0.004139356,0.009069688,0.01783003,0.001655439,0.00004438165,0.0002205516,0.00069529,0.04929065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01738281,"threshold_uncertainty_score":0.05815125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03746505343612494,"score_gpt":0.2542233080753356,"score_spread":0.2167582546392106,"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."}}