{"id":"W4378650025","doi":"10.32920/23257229","title":"Generations","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Jewish and Middle Eastern Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Narrative; Misrepresentation; Representation (politics); Sociology; History; Citizenship; Portrait; Gender studies; Genealogy; Literature; Art; Art history; Law; Politics; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004409203,0.0003863005,0.0001333054,0.0007086047,0.006780516,0.003631571,0.0007552566,0.0007519213,0.1529595],"category_scores_gemma":[0.001046165,0.0001964271,0.0002075872,0.0009082789,0.00114645,0.001235701,0.00224212,0.001007285,0.02605326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01250789,"about_ca_system_score_gemma":0.01526989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8053516,"about_ca_topic_score_gemma":0.8898467,"domain_scores_codex":[0.9993619,0.00005102401,0.00001293002,0.0001043723,0.0002142928,0.0002553498],"domain_scores_gemma":[0.9994492,0.00001916062,0.00002338991,0.00005418417,0.0002755961,0.0001784799],"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":[0.00009330506,0.0000351176,0.01215947,0.0001024793,0.00001411895,0.0008691669,0.02100636,0.0001791255,0.001663121,0.1622889,0.4950327,0.306556],"study_design_scores_gemma":[0.000002800541,0.000006748457,0.006685568,0.00003001424,0.00000297367,0.0001551661,0.004138906,0.00005630586,0.0003117256,0.001445377,0.9871534,0.00001119287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02821109,0.0009513915,0.002036094,0.008241429,0.0009221616,0.0001802935,0.004063579,0.0003610624,0.9550329],"genre_scores_gemma":[0.11876,0.0006657954,0.001284636,0.00164306,0.00005630438,0.00004786463,0.001036554,0.0001575933,0.8763481],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8053516,"threshold_uncertainty_score":0.5117004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.154468676634837,"score_gpt":0.368777794977209,"score_spread":0.2143091183423719,"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."}}