{"id":"W4402003457","doi":"10.1515/9781772127829-007","title":"“TEL AVIV–TORONTO RED EYE” A Dialogue","year":2024,"lang":"en","type":"book-chapter","venue":"University of Alberta Press eBooks","topic":"Ancient Mediterranean Archaeology and History","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tel aviv; History; Geography; Library science; Media studies; Sociology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001193906,0.0006240184,0.0004287478,0.00101583,0.01391315,0.01361454,0.001283626,0.005093036,0.03860604],"category_scores_gemma":[0.001547668,0.0003883239,0.0001938927,0.002155855,0.009162286,0.00319012,0.003243624,0.004441477,0.003801046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0897735,"about_ca_system_score_gemma":0.02817711,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.814867,"about_ca_topic_score_gemma":0.8970404,"domain_scores_codex":[0.9984587,0.0004794878,0.00002422793,0.0001451771,0.0003187723,0.0005735421],"domain_scores_gemma":[0.9992136,0.0002390719,0.00004682709,0.00004007932,0.000165497,0.0002950016],"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":[0.00008085463,0.00002252091,0.0003297288,0.0001014834,0.00001116547,0.0004476778,0.01958744,0.0001575188,0.000336813,0.3162397,0.638447,0.0242381],"study_design_scores_gemma":[0.000005796577,0.000002880602,0.0009834537,0.00010117,0.000002755571,0.00004551836,0.007695647,0.00004342018,0.00007921807,0.002945736,0.9880875,0.000006949248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01449495,0.05586998,0.0003911351,0.1864427,0.004159204,0.00001204036,0.000425519,0.00006685351,0.7381375],"genre_scores_gemma":[0.276726,0.01013959,0.000362476,0.02022422,0.00119521,0.00002543679,0.0001852753,0.0001903561,0.6909514],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.814867,"threshold_uncertainty_score":0.6513554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03097172289024593,"score_gpt":0.1869692873954355,"score_spread":0.1559975645051896,"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."}}