{"id":"W6887450912","doi":"10.1594/pangaea.880977","title":"Uni PCA analyses of paleomagnetic of IODP Site 342-U1406","year":2017,"lang":"fr","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Paleomagnetism; Overprinting; Principal component analysis; Feature (linguistics); Ooid","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0002341635,0.001313194,0.002539606,0.00103057,0.0002578456,0.0001918281,0.003845369,0.001311761,0.7598507],"category_scores_gemma":[0.01110824,0.001411509,0.001002218,0.0009020017,0.0002894652,0.0004416791,0.001619795,0.001055318,0.2624218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001664715,"about_ca_system_score_gemma":0.0008745281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009626099,"about_ca_topic_score_gemma":0.002481232,"domain_scores_codex":[0.9938393,0.0005890056,0.001711681,0.001259802,0.001506809,0.001093408],"domain_scores_gemma":[0.9860315,0.0007641083,0.005291487,0.005872495,0.001562531,0.000477857],"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":[0.00009718548,0.0004777805,0.0001289235,0.01295304,0.0006835358,0.0002940694,0.00006749218,0.0001341281,0.001775873,8.331912e-7,0.9830813,0.0003057923],"study_design_scores_gemma":[0.0009768558,0.0005798373,0.0106571,0.03646082,0.001503976,0.00003906728,0.00002714356,0.0001445777,0.003103827,0.00001187325,0.9453698,0.001125053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002187872,0.01531048,2.215246e-8,0.00002616565,0.000209271,0.0008413092,0.9817596,0.00005372657,0.001580621],"genre_scores_gemma":[0.001385444,0.0001287573,0.00009445228,0.00002887191,0.0004726085,0.0001705885,0.9948999,0.0002657607,0.002553639],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.497429,"threshold_uncertainty_score":0.9999847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1519889641681475,"score_gpt":0.3839645102186844,"score_spread":0.2319755460505369,"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."}}