{"id":"W4398959048","doi":"10.7910/dvn/tlahpx/l1wwdj","title":"ddAle_Ott_20160514_10422000.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":[0.0009571491,0.002412625,0.002270358,0.000692525,0.0005545569,0.0007884502,0.004936073,0.001728251,0.238217],"category_scores_gemma":[0.002118274,0.002744464,0.000856469,0.001480974,0.001388933,0.001896477,0.004356988,0.002898518,0.9994236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207107,"about_ca_system_score_gemma":0.001113214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001019361,"about_ca_topic_score_gemma":0.0005966046,"domain_scores_codex":[0.9892231,0.001157122,0.001828334,0.003192693,0.002141044,0.002457767],"domain_scores_gemma":[0.9887299,0.0004512038,0.00141907,0.006803781,0.0003384046,0.002257642],"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":[0.0005556116,0.0007652387,0.00003396573,0.001458729,0.0009864627,0.004729462,0.0001300275,0.00002700452,0.0005884963,0.0006615093,0.9892669,0.0007966309],"study_design_scores_gemma":[0.002604588,0.0003073472,0.00006182331,0.0009510348,0.002062486,0.0003678551,0.0001917859,0.000354826,0.0001445039,0.00005090167,0.9901507,0.002752154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001323574,0.00001208054,0.00006954272,0.0000880322,0.005350823,0.001539772,0.9881011,0.0005713844,0.004254012],"genre_scores_gemma":[0.000007464261,0.001558551,0.002230528,0.002788408,0.003746637,0.0001179448,0.9809798,0.0008011609,0.007769485],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7612066,"threshold_uncertainty_score":0.9995677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02340487176478303,"score_gpt":0.2482814566609439,"score_spread":0.2248765848961609,"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."}}