{"id":"W6911031827","doi":"10.5066/p98q5f6r","title":"Genotypes and cluster definitions for a range-wide greater sage-grouse dataset collected 2005-2017 (ver 1.1, January 2023)","year":2022,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Genetic diversity; Identification (biology); Microsatellite; Diversity (politics); Prioritization; Cluster (spacecraft); Range (aeronautics); Wildlife","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001338691,0.001185998,0.0009700377,0.0008025258,0.001413097,0.0002367989,0.0006732646,0.000489675,0.03993586],"category_scores_gemma":[0.0004621251,0.001248393,0.0002520287,0.0003304688,0.0005390203,0.0006179388,0.001023945,0.00104137,0.004309834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001432683,"about_ca_system_score_gemma":0.0001545386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000288523,"about_ca_topic_score_gemma":0.0003053981,"domain_scores_codex":[0.9932496,0.0006441001,0.001098372,0.00269814,0.001154205,0.001155585],"domain_scores_gemma":[0.995518,0.0002558715,0.0008111707,0.003086312,0.00003747106,0.0002911936],"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":[0.001041392,0.0007386384,0.00005994884,0.0003565005,0.0005809598,0.00004875682,0.0001087107,0.001055553,0.0001557169,0.000001064151,0.99574,0.000112766],"study_design_scores_gemma":[0.002382334,0.0002925631,0.001339326,0.00004902847,0.001593192,0.0002279172,0.00007584655,0.00002304819,0.0000885539,0.00006929215,0.9924448,0.001414105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001016436,0.001587761,0.00007728284,0.001284542,0.001228135,0.005950186,0.9886828,0.0001440814,0.00002876738],"genre_scores_gemma":[0.00001260783,0.004582929,0.001081927,0.0008400612,0.0008875413,0.005027587,0.9814321,0.0002751943,0.005860092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03562603,"threshold_uncertainty_score":0.9998869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03387236236352184,"score_gpt":0.2357031742164261,"score_spread":0.2018308118529042,"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."}}