{"id":"W4404051782","doi":"10.5840/adc2024511115","title":"Taps","year":2024,"lang":"en","type":"article","venue":"After Dinner Conversation","topic":"Jungian Analytical Psychology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001344776,0.00009991637,0.0000903429,0.0001563975,0.00000926094,0.0000459527,0.00008627257,0.0001116505,0.02053209],"category_scores_gemma":[0.00001225524,0.00009244589,0.00007426482,0.000235782,0.00007335446,0.0001209441,0.00001832666,0.0001472405,0.04356568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004929184,"about_ca_system_score_gemma":0.00001166141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003179185,"about_ca_topic_score_gemma":0.000006682292,"domain_scores_codex":[0.999121,0.00005873937,0.0001609974,0.0003423488,0.00009913858,0.0002178537],"domain_scores_gemma":[0.9995619,0.00007237608,0.00001498582,0.0002635076,0.00002290424,0.00006429121],"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":[0.0003553316,0.0001974104,0.02069222,0.00008827688,0.0006748207,0.00112772,0.019933,0.000002396424,0.00112267,0.3261383,0.5593863,0.07028157],"study_design_scores_gemma":[0.001010433,0.0001948798,0.2080108,0.00006375321,0.0001962659,0.00009171817,0.0009279887,0.001436124,0.0001571306,0.019257,0.7680976,0.0005562135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3679404,0.002910298,0.01963813,0.02714916,0.01527592,0.0004892148,0.00003097531,0.0009302103,0.5656357],"genre_scores_gemma":[0.9774208,0.000004158524,0.00007674716,0.001733367,0.0003031214,0.00001631886,0.0000152915,0.00002260705,0.02040759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6094804,"threshold_uncertainty_score":0.9803632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292673894089565,"score_gpt":0.3164018430538428,"score_spread":0.3034751041129471,"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."}}