{"id":"W4398962168","doi":"10.7910/dvn/tlahpx/s8li96","title":"ddAle_Ott_20140714_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":[0.00126239,0.002923764,0.002153234,0.005749312,0.001196492,0.004722704,0.003599146,0.002942904,0.3512794],"category_scores_gemma":[0.009707252,0.001096659,0.001496234,0.008800666,0.0007407262,0.002709277,0.003152364,0.001944339,0.3882815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00230922,"about_ca_system_score_gemma":0.002720216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03808368,"about_ca_topic_score_gemma":0.05102257,"domain_scores_codex":[0.9987627,0.000198345,0.0001080109,0.0004046686,0.0002452455,0.0002810789],"domain_scores_gemma":[0.9966467,0.0009831747,0.0003340177,0.000808897,0.0008217091,0.0004055052],"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":[0.0000257966,0.000004344405,0.000183533,0.0002816585,0.00001299105,0.000005354458,0.000008661108,0.00008729308,0.00002763871,0.0003379081,0.9983361,0.0006887667],"study_design_scores_gemma":[0.0001885026,0.00001254466,0.001498517,0.0003288767,0.00002253237,0.00002492743,0.0000500716,0.000221909,0.0001892146,0.001661905,0.9957682,0.00003278731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000230668,0.00004323607,0.00002375784,0.00006706964,0.00002371605,0.000002379547,0.99891,0.0003179998,0.0005886931],"genre_scores_gemma":[0.00027948,0.0000685378,0.000125783,0.00008969466,0.00001881489,0.00003397164,0.9979243,0.0002461045,0.001213407],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6487206,"threshold_uncertainty_score":0.9253212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430225019971765,"score_gpt":0.2489469377863906,"score_spread":0.2246446875866729,"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."}}