{"id":"W4398986334","doi":"10.7910/dvn/tlahpx/wpwkfy","title":"ddAle_Ott_20161225_05382000.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":"Computer science","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":[0.0009720899,0.002429536,0.002301294,0.0006960598,0.0005579118,0.0008118987,0.004968561,0.001734089,0.2311866],"category_scores_gemma":[0.002272237,0.002764264,0.0008611267,0.001496925,0.001385474,0.001881592,0.004263361,0.002911332,0.9994814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244992,"about_ca_system_score_gemma":0.001114558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009833593,"about_ca_topic_score_gemma":0.0005787876,"domain_scores_codex":[0.9891356,0.001149938,0.001838373,0.003218298,0.002165269,0.002492502],"domain_scores_gemma":[0.9885965,0.0004534072,0.001403222,0.006895069,0.0003485697,0.002303216],"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":[0.0005576664,0.000789862,0.00002770764,0.001417082,0.0009900123,0.004365634,0.0001172689,0.00002984798,0.0006764079,0.0006835763,0.9896354,0.0007094987],"study_design_scores_gemma":[0.002742668,0.0003091444,0.00005669276,0.000917189,0.002084825,0.0003653271,0.0002090675,0.0003589196,0.0001626286,0.0000499204,0.9899734,0.002770209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001297936,0.00001063138,0.0000574193,0.00009282846,0.005474188,0.00153468,0.9878042,0.0005715183,0.004441545],"genre_scores_gemma":[0.000007670526,0.001619929,0.002169199,0.002683722,0.003852877,0.0001199302,0.9809628,0.0008032909,0.007780548],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7682948,"threshold_uncertainty_score":0.9995618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02356047663475784,"score_gpt":0.2483324395535225,"score_spread":0.2247719629187647,"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."}}