{"id":"W4410314013","doi":"10.32920/ifmj.v4i1-2.2017","title":"Metaphor, Database, History","year":2024,"lang":"en","type":"article","venue":"Interactive Film and Media Journal","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metaphor; Database; Computer science; Linguistics; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003348177,0.0001367188,0.0001665535,0.0002469734,0.00005426383,0.0000740672,0.00009814143,0.00006628945,0.01789601],"category_scores_gemma":[0.0001422401,0.0001035233,0.0001073368,0.0000727299,0.0000742085,0.000397374,0.00002850091,0.0006679276,0.0005673378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001094234,"about_ca_system_score_gemma":0.00007762628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004062328,"about_ca_topic_score_gemma":0.00002312344,"domain_scores_codex":[0.9990047,0.0001554411,0.0002137305,0.0002351363,0.0001728652,0.0002181153],"domain_scores_gemma":[0.9991782,0.0003782673,0.00006744677,0.000122144,0.00007672483,0.0001771948],"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":[0.0004121916,0.0002092424,0.0001595176,0.00004635332,0.0009661792,0.003460057,0.06596263,1.029352e-7,0.00769725,0.009690077,0.6830338,0.2283626],"study_design_scores_gemma":[0.0007095531,0.000146876,0.002949983,0.0002514506,0.0002975681,0.003933128,0.01199847,0.00005566331,0.0008693037,0.002799867,0.9757268,0.0002613686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4554691,0.1649477,0.005944449,0.001040769,0.05985866,0.0002706271,0.0002593722,0.000201608,0.3120077],"genre_scores_gemma":[0.9842525,0.0009606858,0.0002602983,0.0009502979,0.002106792,0.00002339086,0.00005622354,0.00003277684,0.01135704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5287834,"threshold_uncertainty_score":0.9830018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02952979830485258,"score_gpt":0.311774955841609,"score_spread":0.2822451575367564,"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."}}