{"id":"W4398831543","doi":"10.7910/dvn/tlahpx/oyuwne","title":"ddAle_Ott_20160323_08099500.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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001190684,0.00278012,0.00209703,0.005453672,0.001188051,0.004682127,0.003480459,0.002704397,0.3612231],"category_scores_gemma":[0.009608418,0.001005958,0.001416426,0.008814108,0.0007279585,0.002767541,0.003153513,0.001869384,0.394095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002336917,"about_ca_system_score_gemma":0.002770731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0416665,"about_ca_topic_score_gemma":0.05404191,"domain_scores_codex":[0.9988033,0.0001823902,0.0001130968,0.0003832488,0.000238201,0.00027974],"domain_scores_gemma":[0.9966698,0.0009149257,0.0003464674,0.0007687992,0.0008957179,0.0004043374],"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":[0.00002529043,0.000003734008,0.000162704,0.000276144,0.00001070869,0.000004961404,0.000008143599,0.00007564051,0.00002499224,0.0003287251,0.9984331,0.0006459888],"study_design_scores_gemma":[0.0001777702,0.00001142364,0.001407892,0.000323628,0.00001932918,0.00002204356,0.00004848902,0.000179777,0.0001635587,0.001525299,0.9960905,0.00003032314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002028226,0.00004072206,0.00001904561,0.0000632112,0.000023127,0.000002291766,0.9989184,0.00027327,0.0006396509],"genre_scores_gemma":[0.0002640062,0.00006885602,0.0001124472,0.00008624743,0.00001868424,0.0000324063,0.9978817,0.0002258667,0.001309823],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6387769,"threshold_uncertainty_score":0.9111378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450849993824139,"score_gpt":0.2498286972077927,"score_spread":0.2253201972695513,"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."}}