{"id":"W4398820198","doi":"10.7910/dvn/tlahpx/1azntv","title":"ddAle_Ott_20140219_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":[0.001213492,0.003334105,0.002280863,0.005251697,0.001293193,0.004612986,0.003985316,0.003234452,0.3280888],"category_scores_gemma":[0.008751335,0.001132495,0.001605247,0.007649906,0.0008372332,0.00267065,0.003188957,0.002053042,0.3997828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002324623,"about_ca_system_score_gemma":0.00267769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03717804,"about_ca_topic_score_gemma":0.05232579,"domain_scores_codex":[0.9987569,0.0001999384,0.000101831,0.0004246795,0.0002381627,0.0002786338],"domain_scores_gemma":[0.99705,0.0008437303,0.0002655933,0.0007436157,0.0007251911,0.0003717618],"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":[0.00002892976,0.000005108242,0.0001624222,0.000291256,0.00001280236,0.000005884644,0.000008975425,0.00009251601,0.0000345456,0.0002665751,0.9984439,0.0006470902],"study_design_scores_gemma":[0.0002361873,0.00001713721,0.001502478,0.0003165432,0.00002602881,0.00003165034,0.00005599951,0.0002870216,0.0002505916,0.001710613,0.995528,0.00003776983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000286521,0.00004764022,0.00002593219,0.00006699473,0.000027763,0.000002929692,0.9988198,0.0004154618,0.0005648093],"genre_scores_gemma":[0.0002628276,0.00006019372,0.0001218052,0.00008278958,0.00001776688,0.00003286854,0.998118,0.0002360782,0.001067576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6719112,"threshold_uncertainty_score":0.9583998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433356093064912,"score_gpt":0.2501686613514125,"score_spread":0.2258351004207634,"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."}}