{"id":"W4398914931","doi":"10.7910/dvn/tlahpx/ykdh8g","title":"ddAle_Ott_20140726_06928500.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":[0.001216442,0.002816404,0.002112685,0.005594072,0.001179476,0.004576134,0.003563781,0.002837341,0.359708],"category_scores_gemma":[0.009531854,0.00103332,0.001433826,0.008792285,0.0007488764,0.002748911,0.003115818,0.001911675,0.3937075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002243661,"about_ca_system_score_gemma":0.002667804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03799036,"about_ca_topic_score_gemma":0.04944964,"domain_scores_codex":[0.9987966,0.0001880066,0.0001101313,0.0003859521,0.0002375907,0.0002818206],"domain_scores_gemma":[0.9967243,0.0009343866,0.0003333938,0.0007690714,0.0008443601,0.0003945398],"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":[0.00002532074,0.000004150802,0.0001616504,0.0002768437,0.00001118225,0.00000498796,0.000008271594,0.00008321509,0.00002656122,0.0003305687,0.9984099,0.0006574385],"study_design_scores_gemma":[0.0001916127,0.00001244377,0.001392288,0.0003160641,0.00001990023,0.00002283007,0.00005016418,0.0002060039,0.0001765912,0.001602313,0.9959781,0.00003148993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002203139,0.00004093115,0.00002164622,0.00006421258,0.00002245663,0.000002453235,0.9988938,0.000311127,0.0006214418],"genre_scores_gemma":[0.0002683209,0.00006752097,0.0001237572,0.00008719891,0.00001834829,0.00003397743,0.9979327,0.0002393674,0.001228919],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6402919,"threshold_uncertainty_score":0.9132988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426997534862017,"score_gpt":0.2496530419732819,"score_spread":0.2253830666246617,"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."}}