{"id":"W4233221292","doi":"10.26522/ti.v2i1.758","title":"Vision","year":2013,"lang":"en","type":"article","venue":"ti<","topic":"Religious Tourism and Spaces","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science; Psychology","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":["insufficient_payload"],"category_scores_codex":[0.00009011597,0.00001992169,0.0000293724,0.00001171447,0.0001428718,0.00005424464,0.00007531179,0.00002685669,0.0009195867],"category_scores_gemma":[0.00002048349,0.00001585593,0.00001413113,0.00004997753,0.00005043615,0.00009346984,0.000009305443,0.00002215066,0.003399278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000727172,"about_ca_system_score_gemma":0.00001580702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008657263,"about_ca_topic_score_gemma":0.0002863486,"domain_scores_codex":[0.9996887,0.0000228573,0.00003133574,0.000048234,0.0001079269,0.0001009804],"domain_scores_gemma":[0.9998524,0.00001923561,0.00001040824,0.00005409277,0.0000184195,0.00004551278],"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":[3.34795e-7,0.000007672708,0.001148105,7.213083e-7,0.000001080761,7.958465e-7,0.003642043,3.831231e-7,0.0001705567,0.005950422,0.9707356,0.01834227],"study_design_scores_gemma":[0.0000377307,0.00001294897,0.004105209,0.00000291883,0.00000103403,8.492071e-8,0.0007446185,0.00001608623,0.00005391635,0.01265126,0.9823307,0.00004350817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3420118,0.000207028,0.00001764397,0.002858518,0.0001239955,0.00006782158,1.172956e-7,0.0000530885,0.65466],"genre_scores_gemma":[0.9629336,0.0002947625,0.0001326101,0.0001709156,0.0001904528,0.00000378986,2.647966e-7,0.000002044465,0.03627159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6209217,"threshold_uncertainty_score":0.9999937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006807822764258903,"score_gpt":0.2996698450746611,"score_spread":0.2928620223104022,"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."}}