{"id":"W4398905829","doi":"10.7910/dvn/v1rjpf/klaayc","title":"iqa20150504_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":"Computer 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":[0.0003614985,0.0003601552,0.0004915126,0.00005911515,0.001285459,0.0004562167,0.001049612,0.000311888,0.1792846],"category_scores_gemma":[0.002180967,0.000323427,0.0001752963,0.0002601696,0.0005855011,0.0003278164,0.0004889044,0.0004691381,0.6861541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001148938,"about_ca_system_score_gemma":0.0003879141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00594508,"about_ca_topic_score_gemma":0.002432409,"domain_scores_codex":[0.9975537,0.0002521156,0.000363152,0.0005969953,0.0006910029,0.0005430469],"domain_scores_gemma":[0.998471,0.0001628285,0.0002210207,0.0006194174,0.0001829056,0.0003428955],"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":[0.000019308,0.00003630025,0.000009555271,0.00007769024,0.0001107864,0.0001593767,0.003374226,2.02411e-7,3.275102e-7,0.0007116224,0.9953642,0.00013641],"study_design_scores_gemma":[0.0002116522,0.00003259258,0.0000161874,0.00006289453,0.0001701099,0.00000136995,0.001938235,0.000001110991,4.843385e-7,0.00009320057,0.99705,0.0004221132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003083551,0.000001771671,0.000001741884,0.00003368704,0.002729454,0.0003238348,0.9862261,0.0001388769,0.01054147],"genre_scores_gemma":[0.00001363172,0.001770995,0.0002250533,0.001660578,0.003554082,0.00002439618,0.9893808,0.00001685538,0.003353654],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5068695,"threshold_uncertainty_score":0.9999218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03260675851730183,"score_gpt":0.2943871045733302,"score_spread":0.2617803460560284,"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."}}