{"id":"W4394147394","doi":"10.6084/m9.figshare.11591658","title":"TigerSalamanders_STRUCTURE_allUSandCanada.stru","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002770003,0.0003920147,0.0004506216,0.0001656232,0.0001069608,0.0005020913,0.004517098,0.000274251,0.1251398],"category_scores_gemma":[0.0006106184,0.0003641017,0.0001712061,0.0006459779,0.000007006189,0.0003643438,0.001435541,0.0005720687,0.02541746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006977321,"about_ca_system_score_gemma":0.0004267999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000886058,"about_ca_topic_score_gemma":0.000393722,"domain_scores_codex":[0.997745,0.0000556882,0.0002933924,0.0008643011,0.000652884,0.0003887168],"domain_scores_gemma":[0.997399,0.00009417232,0.0002870974,0.001836569,0.00008906377,0.0002941187],"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":[7.430045e-7,0.000004411972,8.175532e-8,0.0001299746,0.00007372678,0.0002019576,0.000006840068,0.000002910879,2.215503e-7,0.00000697656,0.9990285,0.000543659],"study_design_scores_gemma":[0.00009684925,0.00002190668,0.00001200154,0.0002921506,0.00003001015,0.00001604104,0.000001376313,0.0003114064,0.000009851153,0.00004855345,0.9987542,0.0004056535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[2.968994e-9,0.0001109615,0.0000584494,0.0003930069,0.0001981317,0.0001429369,0.9986158,0.0001364488,0.0003442709],"genre_scores_gemma":[0.000002054355,0.000006237441,0.0004802104,0.002556827,0.0003373583,0.0000515958,0.9964808,0.00001543693,0.00006948102],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09972237,"threshold_uncertainty_score":0.9998811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236992306281895,"score_gpt":0.2346532735349866,"score_spread":0.2109540429067971,"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."}}