{"id":"W4409989043","doi":"10.31219/osf.io/cdfsw_v2","title":"Checklist of the avian diversity of Alaska","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Checklist; Diversity (politics); Geography; Biology; Political science; Paleontology","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":[],"consensus_categories":[],"category_scores_codex":[0.000997696,0.0007145315,0.0004154447,0.005680679,0.001570875,0.0007496261,0.0006847894,0.0002856726,0.0193517],"category_scores_gemma":[0.001848351,0.0002327572,0.0003502411,0.003087271,0.0003339098,0.0008929996,0.0007563215,0.0005925885,0.007653374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004388997,"about_ca_system_score_gemma":0.001053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02966614,"about_ca_topic_score_gemma":0.0622235,"domain_scores_codex":[0.9994341,0.00008359618,0.0001686238,0.00008546573,0.0001785599,0.00004968039],"domain_scores_gemma":[0.9982351,0.0001725993,0.0004481405,0.0001095521,0.0008359497,0.0001985526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004113152,0.0001221875,0.4340451,0.00400754,0.0001788111,0.0009493516,0.01307729,0.0007897454,0.003400099,0.003071527,0.2715031,0.2684439],"study_design_scores_gemma":[0.00001141389,0.0001222485,0.5142559,0.00152706,0.000085031,0.001320834,0.0069993,0.0001395203,0.0003009828,0.0009113943,0.4742683,0.0000579824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.2628905,0.02568026,0.004076558,0.0009173777,0.001485854,0.001232527,0.3496932,0.001703484,0.3523203],"genre_scores_gemma":[0.4458931,0.02705978,0.03795499,0.001056381,0.0005499055,0.002445512,0.384518,0.0004370079,0.1000853],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02966614,"threshold_uncertainty_score":0.06473786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101299393389555,"score_gpt":0.209591274657278,"score_spread":0.1994613353183225,"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."}}