{"id":"W4401107734","doi":"10.1093/9780191925375.002.0006","title":"List of Figures","year":2024,"lang":"en","type":"paratext","venue":"","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008995804,0.00006053334,0.0001103499,0.00002581455,0.00007028592,0.00003902546,0.0001315447,0.0001819012,0.0640944],"category_scores_gemma":[0.00003015624,0.00003985294,0.00008389101,0.0001334618,0.00009266147,0.00004312458,0.00002067682,0.00009959772,0.01261465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003874642,"about_ca_system_score_gemma":0.0001365315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01804553,"about_ca_topic_score_gemma":0.006237643,"domain_scores_codex":[0.9994615,0.00003741493,0.00009542186,0.0001042754,0.0001960461,0.000105351],"domain_scores_gemma":[0.999799,0.00001719767,0.00003700951,0.00006544255,0.00005177563,0.00002955483],"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":[6.770123e-7,0.000003805901,3.705671e-7,0.00005896854,0.00001163775,0.000001009871,0.003971417,2.656563e-7,0.00007167622,0.01125169,0.9836759,0.0009525963],"study_design_scores_gemma":[0.000011941,0.000006542723,0.000002260985,0.00007469853,0.00001440363,1.053611e-7,0.002809639,4.237884e-7,0.0001261223,0.0003080255,0.9965828,0.00006301902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003078979,0.01015926,0.000004235617,0.0005246528,0.001633313,0.00007323122,0.00003276271,0.00002563964,0.987239],"genre_scores_gemma":[0.02562902,0.001179673,0.00001902377,0.00008232354,0.0009833499,0.000003635641,0.00006049888,0.000004772281,0.9720377],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05147976,"threshold_uncertainty_score":0.9884934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910291682738213,"score_gpt":0.3427599957906038,"score_spread":0.3236570789632217,"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."}}