{"id":"W4313441591","doi":"10.13033/isahp.y2022.064","title":"2022 ISAHP Book of Abstracts/Schedule","year":2022,"lang":"en","type":"article","venue":"ISAHP proceedings","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Schedule; Computer science; Operating system","routes":{"ca_aff":true,"ca_fund":false,"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":[],"category_scores_codex":[0.0005993547,0.0001093423,0.00022686,0.00001735525,0.000282289,0.00002796918,0.0002687676,0.00003863655,0.009741022],"category_scores_gemma":[0.000179913,0.00004671326,0.0001230238,0.0004289727,0.00006216372,0.0001009538,0.0001299276,0.0002055691,0.00001558628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002180664,"about_ca_system_score_gemma":0.00000516005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000765795,"about_ca_topic_score_gemma":0.000006821711,"domain_scores_codex":[0.9987819,0.00003446222,0.0003110215,0.0002770181,0.0003678241,0.000227785],"domain_scores_gemma":[0.9994395,0.0001928986,0.0001599636,0.00002986072,0.00008814815,0.00008961672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006165998,0.0002337343,0.003239446,0.00001734596,0.00003605573,0.000005674669,0.0001601678,0.00002077466,0.9283411,0.01354911,0.02020873,0.03412619],"study_design_scores_gemma":[0.000306488,0.001106919,0.08322575,0.00001377443,0.00009896877,0.00003787414,0.004240193,0.0008709913,0.05704263,0.007682261,0.8448394,0.0005347671],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806797,0.0002981078,0.000007622292,0.001187955,0.00009012785,0.00009791731,0.00007390308,0.00004171567,0.01752298],"genre_scores_gemma":[0.9948437,0.0000188226,0.001148082,0.0007042611,0.000139735,0.00002826603,0.00001956261,0.000001242011,0.003096282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8712985,"threshold_uncertainty_score":0.9911642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02315967078471458,"score_gpt":0.2476005113299567,"score_spread":0.2244408405452421,"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."}}