{"id":"W6905133764","doi":"10.15139/s3/k03yhd","title":"Toronto Couples Study, 2017","year":2019,"lang":"en","type":"dataset","venue":"UNC Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Session (web analytics); Interview; Online forum; Data collection; Work (physics); Protocol (science)","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":[0.002029899,0.001006599,0.001128156,0.00275411,0.002475619,0.002864345,0.002154896,0.001028904,0.05336584],"category_scores_gemma":[0.0144976,0.0007146376,0.0008514361,0.008244332,0.0004286534,0.001166934,0.002881711,0.001263715,0.02189398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009733599,"about_ca_system_score_gemma":0.01270521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6674992,"about_ca_topic_score_gemma":0.8075652,"domain_scores_codex":[0.9982614,0.0004288981,0.0002683098,0.0003280835,0.0004245923,0.0002887009],"domain_scores_gemma":[0.9931831,0.0009951659,0.0008201366,0.001124734,0.002881314,0.0009955711],"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":[0.0002054593,0.00002041681,0.0112502,0.0007967856,0.00008743678,0.00007497524,0.0006103463,0.000109749,0.00004592197,0.0008481204,0.9806232,0.005327517],"study_design_scores_gemma":[0.0003107189,0.00003611209,0.09610001,0.001804066,0.0001458396,0.0001544912,0.00243214,0.0002631096,0.000152258,0.0009241554,0.8975946,0.00008251539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00135106,0.000317577,0.00007215628,0.000225815,0.0000461702,0.00009164945,0.9960371,0.00005372888,0.001804774],"genre_scores_gemma":[0.007727135,0.0005315512,0.0004632944,0.0002971657,0.00005242341,0.00138763,0.9844139,0.00007891458,0.005047996],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3325008,"threshold_uncertainty_score":0.6689178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04627400495237408,"score_gpt":0.3216858278144671,"score_spread":0.275411822862093,"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."}}