{"id":"W4398839497","doi":"10.7910/dvn/tlahpx/vd5oj0","title":"ddAle_Ott_20170819_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":[0.001309276,0.003210445,0.002173521,0.005098626,0.001248013,0.004518323,0.003913199,0.003128414,0.3189139],"category_scores_gemma":[0.009384009,0.001066347,0.001601652,0.00729101,0.0008270851,0.00260035,0.003272603,0.002036977,0.3827758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002293818,"about_ca_system_score_gemma":0.002630827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03580693,"about_ca_topic_score_gemma":0.05312201,"domain_scores_codex":[0.9987376,0.0002168537,0.0001000232,0.0004223401,0.0002391311,0.0002839871],"domain_scores_gemma":[0.9968919,0.0008837452,0.0002888186,0.0007858832,0.0007496923,0.0004000266],"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":[0.0000273078,0.000004914375,0.0001703606,0.0002664205,0.00001263533,0.000005463738,0.00000811395,0.00009120632,0.00002892096,0.0002715187,0.9984496,0.0006635186],"study_design_scores_gemma":[0.000247197,0.00001774177,0.001577056,0.0003428415,0.00002683675,0.00003408592,0.00005711997,0.0003126299,0.0002289486,0.001894766,0.9952236,0.0000371697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002989907,0.00005354664,0.00002777317,0.00008076909,0.00003095157,0.000003057125,0.9987854,0.0003927759,0.0005958365],"genre_scores_gemma":[0.0002822209,0.00006634462,0.0001289782,0.00009674393,0.0000214059,0.00003517969,0.9980123,0.0002205449,0.001136321],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6810861,"threshold_uncertainty_score":0.9714866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571099495239763,"score_gpt":0.2538642518460443,"score_spread":0.2281532568936467,"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."}}