{"id":"W6960709168","doi":"10.1371/journal.pone.0172458.g003","title":"Results for Scenario 1.","year":2017,"lang":"en","type":"other","venue":"Figshare","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atlas (anatomy); Natural resource; Natural (archaeology); Geographic information system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001455262,0.001120731,0.0006315702,0.001363684,0.0006958688,0.00167403,0.00129219,0.001222454,0.0819103],"category_scores_gemma":[0.005605995,0.0001968518,0.001149141,0.001375026,0.0003026264,0.001761167,0.001069584,0.001394801,0.01002709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180608,"about_ca_system_score_gemma":0.001509152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05077157,"about_ca_topic_score_gemma":0.05231098,"domain_scores_codex":[0.9990997,0.0003921037,0.00002220648,0.000120338,0.000162926,0.0002027377],"domain_scores_gemma":[0.9982442,0.0008673858,0.0001146557,0.0001083753,0.0004523789,0.0002130331],"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":[0.0008214062,0.0002453272,0.01529678,0.0005930659,0.0002487921,0.000386682,0.0002190457,0.165356,0.0002543826,0.02532529,0.7704842,0.02076907],"study_design_scores_gemma":[0.001098197,0.0005661928,0.05170566,0.001185514,0.0005301929,0.001090357,0.01669401,0.2823919,0.002820686,0.1223381,0.5192669,0.0003123333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1187983,0.0008844356,0.01640938,0.006206312,0.001252402,0.001361414,0.4767489,0.002156356,0.3761825],"genre_scores_gemma":[0.7477945,0.0006154936,0.01338981,0.001766872,0.000129972,0.001464597,0.1824932,0.0008858953,0.05145966],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9180897,"threshold_uncertainty_score":0.2740173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03958514495630251,"score_gpt":0.2782206176071396,"score_spread":0.2386354726508371,"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."}}