{"id":"W4398904149","doi":"10.7910/dvn/tlahpx/rgyy3j","title":"ddAle_Ott_20140824_11107000.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":"Mathematics","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":[0.001063814,0.002494431,0.002408037,0.0007046206,0.0005754208,0.0009074017,0.005186315,0.001752519,0.1908638],"category_scores_gemma":[0.002494901,0.002911457,0.0008944438,0.001542466,0.001391485,0.001842242,0.004694697,0.003153301,0.9994019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182645,"about_ca_system_score_gemma":0.00104893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001028997,"about_ca_topic_score_gemma":0.0006576384,"domain_scores_codex":[0.9888211,0.001251606,0.001889935,0.00332977,0.002215033,0.002492543],"domain_scores_gemma":[0.9880952,0.0004876088,0.001506858,0.00719412,0.0003664618,0.002349719],"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":[0.0005588953,0.0007443595,0.00003345674,0.001646293,0.001025745,0.004185436,0.0001466242,0.00003851306,0.0007042696,0.000961179,0.9892935,0.000661773],"study_design_scores_gemma":[0.002597151,0.0003314107,0.00005971066,0.0008777795,0.002239996,0.0003717561,0.0002347449,0.0004621194,0.0001674432,0.00005622736,0.9897606,0.002841021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001497597,0.00001083367,0.00009146499,0.00009493335,0.005903121,0.001563286,0.9880038,0.0005977058,0.003719876],"genre_scores_gemma":[0.00001073269,0.001416534,0.0023268,0.002880447,0.003899317,0.0001235311,0.9829613,0.000834953,0.005546411],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.808538,"threshold_uncertainty_score":0.9995434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430225019971765,"score_gpt":0.2489469377863906,"score_spread":0.2246446875866729,"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."}}