{"id":"W4398672251","doi":"10.7910/dvn/fie0s4/ajbj3c","title":"NaturalGas_Billing.tab","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Database","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":[],"category_scores_codex":[0.0006670153,0.002260055,0.001081515,0.00355899,0.0005617705,0.001872471,0.002279104,0.002075128,0.04757313],"category_scores_gemma":[0.003497978,0.0006064082,0.001264483,0.005765351,0.0004127423,0.00145307,0.001549957,0.001577792,0.04972255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722886,"about_ca_system_score_gemma":0.00190531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0263747,"about_ca_topic_score_gemma":0.04112401,"domain_scores_codex":[0.9993234,0.000070881,0.00008772826,0.000194609,0.0002026493,0.000120901],"domain_scores_gemma":[0.9988839,0.0002529499,0.0001482086,0.0003037796,0.0002647183,0.00014638],"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":[0.00005952525,0.00003059242,0.001312266,0.0004703714,0.00002834741,0.00002411737,0.00001914894,0.0006197497,0.0001456943,0.0006635249,0.9937776,0.002849005],"study_design_scores_gemma":[0.0002283094,0.00001962442,0.005078634,0.0002173925,0.00002629608,0.00007203427,0.00007095752,0.00131724,0.0006255799,0.001364518,0.9909485,0.00003089006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002642057,0.00005265406,0.00004550767,0.00007633342,0.00002031352,0.000007749916,0.9985415,0.0003546448,0.000637195],"genre_scores_gemma":[0.0008807043,0.00007716424,0.0001875392,0.00004403744,0.000008618014,0.00003613674,0.9980313,0.00006277754,0.0006716881],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9524269,"threshold_uncertainty_score":0.1591479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02694587574633533,"score_gpt":0.312755178357548,"score_spread":0.2858093026112126,"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."}}