{"id":"W4398815883","doi":"10.7910/dvn/tlahpx/jfrt60","title":"ddAle_Ott_20140307_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":[0.001186918,0.002788153,0.002111711,0.005622734,0.001187547,0.004658989,0.00347947,0.002751278,0.3682917],"category_scores_gemma":[0.009567109,0.001044235,0.001414918,0.009018963,0.0007301359,0.002793038,0.003109638,0.001878418,0.3938638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002308801,"about_ca_system_score_gemma":0.002721261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04104844,"about_ca_topic_score_gemma":0.05220233,"domain_scores_codex":[0.9988045,0.0001823349,0.0001104355,0.0003830747,0.0002383913,0.0002813129],"domain_scores_gemma":[0.9966696,0.0009508096,0.0003393523,0.0007647639,0.0008780989,0.0003974234],"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":[0.00002451714,0.000003810586,0.0001603383,0.000267065,0.00001080846,0.000004874293,0.000008211845,0.00007913695,0.0000250582,0.0003380692,0.9984425,0.0006356713],"study_design_scores_gemma":[0.0001800748,0.00001146555,0.001393123,0.0003067938,0.00001946093,0.00002155993,0.00004878836,0.0001911361,0.0001690558,0.001560517,0.996067,0.00003102327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002070611,0.00003872102,0.00002049941,0.00006203767,0.00002188754,0.000002296001,0.9988965,0.0002965933,0.0006408324],"genre_scores_gemma":[0.0002713589,0.00006766211,0.0001202178,0.00008727598,0.00001835958,0.00003348552,0.997874,0.000245858,0.001281644],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6317083,"threshold_uncertainty_score":0.9010552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473960166015001,"score_gpt":0.2503668851638434,"score_spread":0.2256272835036934,"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."}}