{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001166081,0.0008616043,0.0005788057,0.002497219,0.0005335712,0.001062074,0.001435619,0.0009133853,0.04144764],"category_scores_gemma":[0.005307551,0.0004413762,0.0006126915,0.004321874,0.0002839838,0.0007584582,0.001387067,0.0009961203,0.02335935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008697494,"about_ca_system_score_gemma":0.001403405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03937114,"about_ca_topic_score_gemma":0.08966681,"domain_scores_codex":[0.9993716,0.0001084989,0.0001078972,0.0002010877,0.0001327159,0.00007821305],"domain_scores_gemma":[0.9982479,0.0005115999,0.0002738982,0.00038023,0.0004580102,0.0001283402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001090369,0.00004660216,0.01440952,0.0008045307,0.00007559518,0.00008935084,0.0002210786,0.0009971387,0.0005384811,0.001951381,0.9725035,0.008253878],"study_design_scores_gemma":[0.0002384956,0.00002911254,0.0577989,0.0004131667,0.00003963049,0.000140891,0.0003372186,0.0009557357,0.0004498607,0.002792584,0.9367561,0.00004835942],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000922484,0.00002956497,0.0002109005,0.00003847851,0.000009487929,0.00001978274,0.9980189,0.0001600309,0.0005904052],"genre_scores_gemma":[0.001560904,0.00002630137,0.001056926,0.00003430339,0.000003846356,0.000158841,0.9965418,0.00006616295,0.0005509131],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04144764,"threshold_uncertainty_score":0.1386561,"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."}}