{"id":"W4398966851","doi":"10.7910/dvn/tlahpx/giyu5d","title":"ddAle_Ott_20170615_14364400.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":[0.001251879,0.00343129,0.002296851,0.005133685,0.001302169,0.004661137,0.004027282,0.003294217,0.3144617],"category_scores_gemma":[0.009038378,0.001075992,0.00159749,0.007351896,0.0008483183,0.002649559,0.003217874,0.002054752,0.4046718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002310417,"about_ca_system_score_gemma":0.002667306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03506747,"about_ca_topic_score_gemma":0.05184624,"domain_scores_codex":[0.9987156,0.0002171772,0.0001007403,0.0004391968,0.0002492476,0.0002780357],"domain_scores_gemma":[0.9970176,0.000854461,0.0002667979,0.00075108,0.0007284842,0.0003815561],"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":[0.00002826955,0.000005156449,0.0001573047,0.0002747388,0.00001248262,0.00000586168,0.00000825728,0.00009248002,0.00003176467,0.0002449032,0.9984773,0.0006615281],"study_design_scores_gemma":[0.0002456062,0.00001824995,0.001452318,0.0003301235,0.00002614561,0.00003501774,0.00005745721,0.0003271496,0.0002493638,0.001839013,0.9953826,0.0000370108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003230458,0.00005875187,0.00002861162,0.00007852727,0.00003133621,0.000003183984,0.9987267,0.0004341409,0.0006065661],"genre_scores_gemma":[0.0002660587,0.00006511177,0.0001245307,0.00008693138,0.00001993766,0.00003321533,0.9980803,0.0002223301,0.001101505],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6855383,"threshold_uncertainty_score":0.9778371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02690780837745163,"score_gpt":0.2548689732385671,"score_spread":0.2279611648611154,"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."}}