{"id":"W4398935816","doi":"10.7910/dvn/tlahpx/gfku4q","title":"ddAle_Ott_20160316_08099500.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":[0.001214562,0.002851636,0.002117255,0.005511372,0.001194406,0.004699817,0.003534591,0.002755727,0.3496291],"category_scores_gemma":[0.00966761,0.001009085,0.001440314,0.008807686,0.0007456121,0.002766558,0.003173536,0.001897031,0.3909879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002346972,"about_ca_system_score_gemma":0.002804048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04112198,"about_ca_topic_score_gemma":0.05421471,"domain_scores_codex":[0.9987658,0.0001896914,0.0001158657,0.0003955112,0.0002481369,0.000285017],"domain_scores_gemma":[0.9966575,0.0009131313,0.000344766,0.0007838947,0.0008960729,0.0004045955],"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":[0.00002521622,0.000003794036,0.0001592607,0.0002769343,0.00001073696,0.000004988802,0.000008182295,0.00007662887,0.0000258997,0.0003247171,0.9984422,0.0006413867],"study_design_scores_gemma":[0.0001773786,0.00001165102,0.001390828,0.0003206711,0.00001936238,0.0000227331,0.00004876111,0.0001863836,0.0001693885,0.001532535,0.9960899,0.00003033982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002106299,0.00004204741,0.00001974112,0.00006449567,0.0000235832,0.000002365062,0.9989058,0.0002856095,0.0006353183],"genre_scores_gemma":[0.0002562457,0.00006784262,0.0001134851,0.00008468949,0.00001827454,0.00003222431,0.9979348,0.0002229473,0.001269448],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.650371,"threshold_uncertainty_score":0.9276752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02451435930680039,"score_gpt":0.249828814021137,"score_spread":0.2253144547143366,"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."}}