{"id":"W7094195782","doi":"","title":"Rocky Mountain Population of\\nTrumpeter Swans","year":2016,"lang":"","type":"article","venue":"Insecta mundi","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Wildlife refuge; Population; National park; Range (aeronautics); Habitat; Population decline; Fish <Actinopterygii>","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":[0.0003289423,0.0003191238,0.000525293,0.0002130858,0.0001129297,0.00002701703,0.0002516411,0.0003258105,0.001097552],"category_scores_gemma":[0.001999337,0.0002256313,0.0001972259,0.0002725172,0.0001568988,0.0002482019,0.0001666448,0.0002289989,0.0003743118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002127785,"about_ca_system_score_gemma":0.0001326931,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02191803,"about_ca_topic_score_gemma":0.001085555,"domain_scores_codex":[0.9975824,0.0001406752,0.0007285953,0.0004297955,0.0005324465,0.000586033],"domain_scores_gemma":[0.9976477,0.000872913,0.0003089241,0.0007069234,0.0001553797,0.000308164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005055936,0.0002201903,0.9491507,0.0001486615,0.0001278025,0.00005719603,0.0003818783,0.000006966049,0.007589618,0.001598009,0.0007258047,0.03948762],"study_design_scores_gemma":[0.003342381,0.001048252,0.9862233,0.002138776,0.0002810058,0.00005359536,0.00001606811,0.0002617314,0.002389344,0.001131094,0.002738399,0.0003759972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881185,0.00174645,0.002611844,0.001130228,0.0009734617,0.0003978706,0.0001999219,0.00008285264,0.004738836],"genre_scores_gemma":[0.9969054,0.0003544841,0.0003145626,0.0002711832,0.0007110086,0.0000120609,0.00006066,0.00005167854,0.001318996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03911162,"threshold_uncertainty_score":0.9998156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605736187116372,"score_gpt":0.2613947185427398,"score_spread":0.2453373566715761,"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."}}