{"id":"W4398953666","doi":"10.7910/dvn/tlahpx/esaqob","title":"ddAle_Ott_20140926_14364400.mat","year":2020,"lang":"fr","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Art","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001047384,0.002414447,0.002321128,0.0006954364,0.0005746838,0.0008668193,0.00510048,0.001741751,0.2240733],"category_scores_gemma":[0.002557623,0.002835774,0.0008844383,0.00149242,0.001396545,0.001796679,0.004706707,0.003052551,0.9993395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141469,"about_ca_system_score_gemma":0.001050762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009680386,"about_ca_topic_score_gemma":0.0005122544,"domain_scores_codex":[0.9891281,0.00120432,0.001797722,0.003241071,0.002203695,0.002425111],"domain_scores_gemma":[0.9882972,0.0004731138,0.00148457,0.007101706,0.0003540888,0.002289311],"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":[0.0004613121,0.00070355,0.00002990238,0.001404939,0.001007455,0.004201248,0.0001434114,0.00003560902,0.0006764018,0.001092848,0.9896747,0.0005685831],"study_design_scores_gemma":[0.002536546,0.0003160287,0.00006996166,0.0008508668,0.002197456,0.0003696883,0.0002201506,0.000363961,0.0001684306,0.00005450358,0.9900898,0.002762645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001499935,0.00001090353,0.0000872575,0.00007329477,0.005720964,0.001476647,0.9873234,0.0005848174,0.004707712],"genre_scores_gemma":[0.000009729803,0.001390435,0.002299437,0.002461388,0.003780445,0.0001273075,0.9828802,0.0008161812,0.006234832],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7752663,"threshold_uncertainty_score":0.9995542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02435040320303037,"score_gpt":0.2496656139443467,"score_spread":0.2253152107413163,"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."}}