{"id":"W6884630457","doi":"10.11575/gyjj-0q66","title":"Episode 9: Sylvia Plath / Jennifer Douglas","year":2022,"lang":"en","type":"other","venue":"University of Calgary","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Context (archaeology); George (robot); Perspective (graphical); Feature (linguistics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"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":[0.00013538,0.0003193484,0.0005321346,0.0007045571,0.0001283465,0.000005823148,0.0008411332,0.0003369103,0.183316],"category_scores_gemma":[0.00001561071,0.0004309306,0.0002673388,0.000312795,0.0003154472,0.00006368851,0.0006340146,0.0005217331,0.005170145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003394526,"about_ca_system_score_gemma":0.0001450253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005942652,"about_ca_topic_score_gemma":0.001647298,"domain_scores_codex":[0.998364,0.000148232,0.0001227998,0.0004742681,0.0005653344,0.0003253774],"domain_scores_gemma":[0.9987025,0.00004956059,0.0003335913,0.00073116,0.00003344569,0.0001497179],"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":[0.0001229616,0.0001099161,0.001111453,0.00008786253,0.0002754928,0.0004700788,0.0001859546,0.000005013644,0.00003398727,0.001894557,0.9951549,0.0005478369],"study_design_scores_gemma":[0.0009757261,0.00005632725,0.0007098654,0.00007310859,0.000198124,0.0000115959,0.0001932647,0.00006150275,0.000004631916,0.00004800973,0.9972558,0.00041206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002101566,0.0009823049,0.0001625196,0.00002367872,0.000399951,0.0003438835,0.0005802279,0.0005293312,0.9967679],"genre_scores_gemma":[0.0001117551,0.0001255821,0.001848974,0.00004436493,0.0001079661,2.33269e-7,0.0005111977,0.0006756461,0.9965743],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1781459,"threshold_uncertainty_score":0.9998143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008148304532279521,"score_gpt":0.1851387005047156,"score_spread":0.176990395972436,"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."}}