{"id":"W4398974464","doi":"10.7910/dvn/tlahpx/w3puee","title":"ddAle_Ott_20140221_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":[0.001252356,0.003098657,0.00216432,0.005311024,0.001234646,0.004495936,0.003799899,0.00306144,0.3299863],"category_scores_gemma":[0.009029069,0.001102794,0.001555391,0.00788178,0.0007912193,0.002589337,0.003197961,0.001972642,0.3767473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00231685,"about_ca_system_score_gemma":0.002663098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03753661,"about_ca_topic_score_gemma":0.05177122,"domain_scores_codex":[0.998786,0.0001983355,0.0001007634,0.0004057272,0.0002309283,0.0002782574],"domain_scores_gemma":[0.9969398,0.000863687,0.000291887,0.0007722016,0.0007467705,0.0003856813],"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":[0.00002822456,0.00000485126,0.000178729,0.0002846295,0.00001313836,0.000005627125,0.00000876062,0.00009283771,0.00003183426,0.0003048953,0.9983809,0.0006654653],"study_design_scores_gemma":[0.0002272543,0.00001615289,0.001617991,0.0003225868,0.00002581353,0.00002938695,0.00005324604,0.0002669398,0.0002270078,0.001736679,0.9954401,0.00003665045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000264746,0.0000442247,0.000025185,0.00006760642,0.00002585313,0.000002752186,0.9988745,0.0003672535,0.0005661489],"genre_scores_gemma":[0.0002774668,0.00006241351,0.0001235037,0.00009032657,0.0000183784,0.0000338161,0.9980693,0.0002268414,0.00109784],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6700137,"threshold_uncertainty_score":0.9556932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02314323120789949,"score_gpt":0.2479255466322014,"score_spread":0.2247823154243019,"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."}}