{"id":"W6913077380","doi":"10.5683/sp3/nr0bmy","title":"Statcan Dialogue Dataset","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Conversation; Set (abstract data type); Order (exchange); Sample (material); Academic institution; Institution","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003001939,0.002892662,0.00206013,0.005500265,0.003684037,0.005676514,0.00733214,0.004218145,0.1226275],"category_scores_gemma":[0.0118809,0.0008724195,0.002921998,0.00705247,0.001073809,0.003391267,0.003579486,0.004486614,0.2187377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003414872,"about_ca_system_score_gemma":0.006145148,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08472762,"about_ca_topic_score_gemma":0.1741984,"domain_scores_codex":[0.996563,0.0008708367,0.0002281781,0.001050963,0.0008617482,0.0004251618],"domain_scores_gemma":[0.996031,0.0009474685,0.0001704714,0.0009945031,0.001527511,0.000329034],"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":[0.00003735147,0.00001685919,0.0003394084,0.0001693656,0.00002534101,0.00002301844,0.00002043159,0.0003395739,0.00005277231,0.0006934028,0.9956394,0.002643009],"study_design_scores_gemma":[0.000118734,0.00002078552,0.001582206,0.0001716351,0.00004098186,0.00008778211,0.000204067,0.001485963,0.0003752715,0.003875395,0.991983,0.00005411256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005228298,0.0004879246,0.0009975584,0.0006907519,0.0002731111,0.00007275745,0.9840246,0.004836679,0.008093746],"genre_scores_gemma":[0.001028124,0.0001119015,0.001418461,0.0002867321,0.00003796665,0.0001975144,0.9933258,0.0006326092,0.002960779],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9152724,"threshold_uncertainty_score":0.4102297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04306247240971238,"score_gpt":0.3141689682071678,"score_spread":0.2711064957974554,"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."}}