{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007137985,0.0008650265,0.0007987485,0.0005075853,0.0002435536,0.0002570085,0.002496773,0.0007256092,0.3850571],"category_scores_gemma":[0.0006611762,0.0008759837,0.0002464041,0.0003432804,0.0005926286,0.0005186551,0.001584697,0.0008303124,0.9925876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003381808,"about_ca_system_score_gemma":0.0004416041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001036176,"about_ca_topic_score_gemma":0.001186504,"domain_scores_codex":[0.9958307,0.0002444042,0.0006356344,0.001282185,0.00105994,0.0009471535],"domain_scores_gemma":[0.9931043,0.0001160515,0.0005456739,0.005559853,0.0002343048,0.0004398677],"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":[0.0001430254,0.0001428021,0.000001629538,0.0001282683,0.0002113795,0.0003461021,0.00001078007,4.701018e-7,0.00005161993,0.0000185165,0.9989113,0.00003414059],"study_design_scores_gemma":[0.0008262355,0.00009412076,0.000007729209,0.0001727588,0.0004703809,0.00007299169,0.00001397698,0.00001255754,0.00005716372,0.00003069867,0.9972723,0.0009691119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004217919,4.669955e-7,0.000005498255,9.318326e-7,0.00179365,0.0005707296,0.9956003,0.0003447719,0.00167948],"genre_scores_gemma":[5.418343e-7,0.00009910049,0.0003918469,0.0005650053,0.001608154,0.00006547813,0.9953999,0.0002111049,0.001658854],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6075305,"threshold_uncertainty_score":0.9993691,"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."}}