{"id":"W4399005890","doi":"10.7910/dvn/v1rjpf/byhtqj","title":"iqa20150130_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Linguistic, Cultural, and Literary Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Environmental science","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":[0.0003495067,0.0003602346,0.0004911178,0.00005880416,0.001260481,0.0004592691,0.001045462,0.0003097216,0.1885064],"category_scores_gemma":[0.002138189,0.0003227356,0.0001747976,0.0002600288,0.0005874413,0.0003294083,0.0004876543,0.0004662762,0.6851355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138079,"about_ca_system_score_gemma":0.0003838601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006156772,"about_ca_topic_score_gemma":0.00256977,"domain_scores_codex":[0.9975659,0.0002474208,0.0003629476,0.0005944544,0.000688192,0.0005411216],"domain_scores_gemma":[0.9984746,0.0001621999,0.0002204012,0.0006168067,0.0001833585,0.0003426404],"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":[0.00001858627,0.00003595899,0.00001184427,0.00007713601,0.0001109506,0.0001553497,0.003338355,2.0959e-7,3.335502e-7,0.0007282398,0.9953973,0.0001257939],"study_design_scores_gemma":[0.0002104062,0.0000321418,0.00001773123,0.00006242099,0.000167455,0.000001311602,0.001584426,9.298833e-7,4.904387e-7,0.00009439232,0.9974065,0.0004218202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003486897,0.000001766128,0.000001659742,0.00003327217,0.002691266,0.0003256689,0.9878701,0.000138656,0.008934147],"genre_scores_gemma":[0.00001453252,0.001809359,0.0002185607,0.001632734,0.003490672,0.0000244231,0.9894428,0.0000170259,0.003349936],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4966291,"threshold_uncertainty_score":0.9999225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03247906829840719,"score_gpt":0.2939007210608202,"score_spread":0.261421652762413,"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."}}