{"id":"W3109129801","doi":"10.3366/anh.2020.0653","title":"Persistent spatial gaps in ornithological study in Australia, 1901–2011","year":2020,"lang":"en","type":"article","venue":"Archives of Natural History","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ornithology; Geography; Mainland; Spatial ecology; Cartography; Ecology; Archaeology; Southern Hemisphere; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006099786,0.00009706923,0.0001610394,0.00003980269,0.00001672128,0.000001869834,0.0002164005,0.00002483363,0.01900919],"category_scores_gemma":[0.00003653216,0.0000862434,0.00007997834,0.00007278496,0.0002853111,0.00005524313,0.0001555797,0.0002316576,0.0003180731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004088691,"about_ca_system_score_gemma":0.000005859395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001298639,"about_ca_topic_score_gemma":0.003341497,"domain_scores_codex":[0.9991034,0.0000892051,0.000198924,0.0002457727,0.0001768415,0.000185812],"domain_scores_gemma":[0.9997314,0.00003891903,0.00005349232,0.00009962795,0.000001693685,0.00007486821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004435595,0.0009356971,0.9493108,0.00002329213,0.00001049722,0.0001564821,0.01868761,0.00005391478,0.02155633,0.0000517681,0.004812886,0.003957201],"study_design_scores_gemma":[0.0006127904,0.0002451843,0.9907594,0.000004333008,0.00000452374,0.000001834965,0.002475439,0.0000654223,0.00005913256,0.00001295864,0.005655637,0.0001033832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859182,0.0002394502,9.425133e-7,0.0002848721,0.0001175773,0.0001825657,0.00001018879,0.00001294636,0.0132333],"genre_scores_gemma":[0.9992865,0.00001632294,0.00004445699,0.0001822319,0.00001273614,0.000008085957,0.00001489686,0.000003912507,0.000430899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04144859,"threshold_uncertainty_score":0.9818876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05953333584989672,"score_gpt":0.2575053374623941,"score_spread":0.1979720016124974,"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."}}