{"id":"W4398461947","doi":"10.7910/dvn/gl5ccd/n00r81","title":"codebook.xlsx","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; Université du Québec à Montréal","funders":"","keywords":"Codebook; Computer science; Artificial intelligence","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":[0.002127469,0.005103141,0.002992853,0.008004713,0.001976451,0.006610365,0.00697247,0.004446273,0.5078156],"category_scores_gemma":[0.01771727,0.001242399,0.002143923,0.01112072,0.001276993,0.004905815,0.005925562,0.003349771,0.6064013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002258414,"about_ca_system_score_gemma":0.003507781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.016457,"about_ca_topic_score_gemma":0.03317155,"domain_scores_codex":[0.9981317,0.0003792675,0.0001883745,0.0006093065,0.0003343151,0.0003570053],"domain_scores_gemma":[0.9951103,0.001489985,0.0002480775,0.001464338,0.001082204,0.0006051115],"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":[0.00001792187,0.00001112293,0.00007614054,0.0002574527,0.000008149977,0.000004974869,0.00001053151,0.00004426253,0.00001592965,0.0001395652,0.9984434,0.0009705331],"study_design_scores_gemma":[0.0003194414,0.0000261107,0.0009164035,0.0004522584,0.00002261122,0.00005352527,0.00013238,0.0004394328,0.0002504062,0.002865811,0.9944822,0.00003945193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006988203,0.0001144165,0.0001069261,0.0001750317,0.00009666167,0.00002749676,0.9959092,0.001659098,0.00184128],"genre_scores_gemma":[0.0003589534,0.0001072688,0.0004167241,0.0001127663,0.00003981137,0.0001702827,0.9956476,0.0006025267,0.002544067],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4921844,"threshold_uncertainty_score":0.7020413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318039910190744,"score_gpt":0.2649264228163608,"score_spread":0.2417460237144534,"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."}}