{"id":"W4398929055","doi":"10.7910/dvn/tlahpx/ja6jje","title":"ddAle_Ott_20160329_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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001259449,0.002908251,0.002093708,0.005145857,0.001138555,0.00429646,0.00351908,0.002816889,0.3023705],"category_scores_gemma":[0.009082767,0.0009950512,0.001454382,0.00761537,0.0007507893,0.002515388,0.00302359,0.001847543,0.3585225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002207342,"about_ca_system_score_gemma":0.002615127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.037596,"about_ca_topic_score_gemma":0.05237386,"domain_scores_codex":[0.9987867,0.0002034546,0.0001065113,0.0004078935,0.0002318873,0.0002634731],"domain_scores_gemma":[0.9969729,0.0008325234,0.0003042737,0.0007577104,0.0007469947,0.0003856303],"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":[0.00002908295,0.000004538916,0.0001872535,0.0002808133,0.00001314013,0.000005854287,0.000008297837,0.00009697136,0.00003082133,0.000292654,0.9983456,0.0007049823],"study_design_scores_gemma":[0.0002102009,0.00001550422,0.00162836,0.0003229309,0.00002454903,0.00003057639,0.00005292981,0.0002719781,0.0002132075,0.001691238,0.9955036,0.00003490066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002683657,0.00004669956,0.0000243061,0.00006934008,0.00002642761,0.000002638738,0.9989393,0.0003296007,0.0005348757],"genre_scores_gemma":[0.0002768055,0.00006388093,0.000117429,0.00008754383,0.00001895029,0.00003136481,0.9980855,0.0002026321,0.001115912],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6976296,"threshold_uncertainty_score":0.9950839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352945480829098,"score_gpt":0.2483315871365551,"score_spread":0.2248021323282641,"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."}}