{"id":"W4399016844","doi":"10.7910/dvn/tlahpx/wno4xw","title":"ddAle_Ott_20160425_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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00124702,0.003210488,0.002133368,0.005150492,0.001193719,0.004347777,0.00379997,0.003037891,0.3064452],"category_scores_gemma":[0.008618961,0.001053047,0.001534448,0.00742646,0.000809381,0.002565247,0.003141726,0.001942113,0.3729342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00231445,"about_ca_system_score_gemma":0.002609242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03711942,"about_ca_topic_score_gemma":0.05339811,"domain_scores_codex":[0.9987857,0.0001993891,0.00009893093,0.0004054797,0.000235297,0.0002752024],"domain_scores_gemma":[0.9970868,0.0007692741,0.0002781745,0.0007607585,0.0007234997,0.0003814535],"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":[0.00002800592,0.000004978158,0.0001737098,0.0002649695,0.00001243204,0.000005712758,0.000008105562,0.00009767776,0.0000333263,0.000280047,0.9983997,0.0006912955],"study_design_scores_gemma":[0.0002310502,0.00001775783,0.001627202,0.0003168798,0.00002531877,0.00003275371,0.00005380388,0.0003107965,0.0002498201,0.00176669,0.9953312,0.00003680299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003018997,0.00004990365,0.00002646801,0.0000738746,0.00002970783,0.000002951781,0.998807,0.0003898651,0.0005901438],"genre_scores_gemma":[0.0002786152,0.00006222884,0.0001213885,0.00008660828,0.00001940372,0.00003123729,0.9980646,0.0002062113,0.001129773],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6935549,"threshold_uncertainty_score":0.9892718,"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."}}