{"id":"W4398849684","doi":"10.7910/dvn/tlahpx/1scdfn","title":"ddAle_Ott_20160624_11107000.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":[0.001230009,0.002865338,0.002123254,0.005459611,0.001172929,0.004597419,0.003553313,0.002849368,0.3569778],"category_scores_gemma":[0.009451831,0.001059141,0.001441587,0.008511709,0.0007296107,0.002662315,0.003152846,0.001895436,0.3959947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002323102,"about_ca_system_score_gemma":0.002698071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03948059,"about_ca_topic_score_gemma":0.053357,"domain_scores_codex":[0.9988103,0.0001907205,0.000105106,0.0003912779,0.000235371,0.0002671739],"domain_scores_gemma":[0.9968129,0.0008975602,0.0003235376,0.0007636056,0.0008037664,0.0003985762],"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":[0.00002538041,0.000004112623,0.0001762735,0.000280263,0.00001222632,0.000005254359,0.000008266181,0.00008420776,0.00002652592,0.0003197116,0.9983589,0.0006988773],"study_design_scores_gemma":[0.0001820469,0.00001266346,0.001446948,0.0003373789,0.0000216777,0.00002500647,0.00004823988,0.0002092148,0.0001813679,0.001601304,0.9959027,0.00003143846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002203446,0.00004477816,0.00002246052,0.00006707456,0.00002475006,0.000002356438,0.9989298,0.0002887892,0.0005979639],"genre_scores_gemma":[0.0002746779,0.00007136642,0.0001188728,0.00009153305,0.00001940757,0.00003306866,0.9978744,0.0002216492,0.001295076],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6430222,"threshold_uncertainty_score":0.9171931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449497862013541,"score_gpt":0.2491155732833751,"score_spread":0.2246205946632397,"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."}}