{"id":"W4398931546","doi":"10.7910/dvn/tlahpx/criunt","title":"ddAle_Ott_20160417_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":"Art","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":[0.001199511,0.002877884,0.00215434,0.005479223,0.001178355,0.004573328,0.003624724,0.002874351,0.3533319],"category_scores_gemma":[0.009428769,0.001008756,0.001439809,0.008533911,0.0007641518,0.002748315,0.00317847,0.001915996,0.3983235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00228546,"about_ca_system_score_gemma":0.002678575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03791034,"about_ca_topic_score_gemma":0.05149147,"domain_scores_codex":[0.9988011,0.0001859949,0.0001089556,0.0003885905,0.0002367854,0.0002784894],"domain_scores_gemma":[0.9968059,0.000877674,0.0003285056,0.0007494753,0.0008377272,0.0004006888],"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":[0.00002538603,0.000004062337,0.0001555508,0.000281678,0.00001085204,0.00000502379,0.000008031923,0.00007962812,0.0000267825,0.0003117752,0.9984274,0.0006639973],"study_design_scores_gemma":[0.0001949183,0.00001294323,0.001366178,0.0003263144,0.00002029,0.00002428965,0.00004903118,0.0002066973,0.0001777965,0.001605029,0.9959852,0.00003132476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002208456,0.0000449969,0.00002066101,0.0000672149,0.00002441777,0.000002498761,0.9988934,0.000299896,0.000624783],"genre_scores_gemma":[0.0002635989,0.0000702566,0.0001189139,0.00008912865,0.00001971866,0.00003334511,0.9979272,0.000220342,0.001257471],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6466681,"threshold_uncertainty_score":0.9223936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450151871286373,"score_gpt":0.2498378185084669,"score_spread":0.2253362997956032,"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."}}