{"id":"W4388337141","doi":"10.5206/ch.2023.1.16966","title":"Editor's Introduction","year":2023,"lang":"en","type":"article","venue":"Chiasma (London. Print)/Chiasma","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Theme (computing); Politics; Political science; Law; Sociology; 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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001308272,0.00036801,0.0004954616,0.0002734881,0.002102948,0.0002402345,0.0006869959,0.0003162477,0.0007408056],"category_scores_gemma":[0.001304102,0.0003702193,0.0003007835,0.001546943,0.0008453561,0.0004010861,0.0003257854,0.000519697,0.002772052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004838764,"about_ca_system_score_gemma":0.0002744743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002990926,"about_ca_topic_score_gemma":0.004166498,"domain_scores_codex":[0.996253,0.0003299287,0.0005052977,0.0007741912,0.001016621,0.001120965],"domain_scores_gemma":[0.9984475,0.0002310193,0.000205053,0.0005217676,0.0002493831,0.0003452559],"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":[0.00002686814,0.0001107938,0.003118501,0.00003326164,0.0001067593,0.00001527893,0.01808197,0.00004413474,0.0001751735,0.08281199,0.8785625,0.0169128],"study_design_scores_gemma":[0.0004882566,0.0000615651,0.01458241,0.00001811038,0.00003650156,0.000001663877,0.004175166,0.00006275893,0.0002486676,0.008594447,0.9712821,0.000448345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5755271,0.003175365,0.0002102231,0.06040398,0.1085738,0.001976768,0.00005140639,0.004372599,0.2457088],"genre_scores_gemma":[0.6833897,0.005750326,0.001020201,0.0009191104,0.2043911,0.0003703928,0.0001437429,0.0001725878,0.1038428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.141866,"threshold_uncertainty_score":0.9998749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173203722592025,"score_gpt":0.2621033167723325,"score_spread":0.2403712795464122,"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."}}