{"id":"W4398671472","doi":"10.7910/dvn/mcw60q/pe60nk","title":"PROSPERED data dictionary - minwage04022019.pdf","year":2019,"lang":"de","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Data dictionary; Computer science; Natural language processing; World Wide Web; Metadata","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":[],"consensus_categories":[],"category_scores_codex":[0.001836452,0.002680826,0.001773493,0.00572265,0.001093451,0.004195744,0.003124125,0.002445176,0.2037318],"category_scores_gemma":[0.01087734,0.001022382,0.001318631,0.009015034,0.0007869742,0.002710372,0.003513895,0.00207923,0.3097535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164334,"about_ca_system_score_gemma":0.003110353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01398528,"about_ca_topic_score_gemma":0.02627464,"domain_scores_codex":[0.9983014,0.000294072,0.0002560703,0.0004825046,0.000369644,0.0002962637],"domain_scores_gemma":[0.9954757,0.001048208,0.0004265151,0.001422776,0.001105722,0.0005210147],"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":[0.00002584215,0.000006123507,0.0001368256,0.0002907078,0.00000887137,0.000005818474,0.000008331314,0.00004648216,0.00003845236,0.0002685205,0.9982616,0.000902316],"study_design_scores_gemma":[0.0001778398,0.00001463286,0.001152906,0.00021207,0.00001460981,0.00003298446,0.00004512579,0.0001673677,0.0002318878,0.001203946,0.9967241,0.00002254387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005203786,0.00005630172,0.00004867728,0.00009325699,0.0000315547,0.000008148705,0.9983228,0.000532793,0.0008544442],"genre_scores_gemma":[0.0002422711,0.00006526885,0.0001865226,0.00007459796,0.00001232207,0.00004800118,0.9981522,0.0002237515,0.0009949891],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2037318,"threshold_uncertainty_score":0.6815507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04793689789418283,"score_gpt":0.2804692868921496,"score_spread":0.2325323889979667,"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."}}