{"id":"W4285042802","doi":"10.7146/ageculturehumanities.v6i.133345","title":"Functionality","year":2022,"lang":"en","type":"article","venue":"Age Culture Humanities An Interdisciplinary Journal","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Computer science","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001045237,0.0003438611,0.0003174422,0.0002634138,0.009289827,0.0005972961,0.0009384273,0.00005556423,0.02993294],"category_scores_gemma":[0.00001523325,0.000300064,0.0003659514,0.0002453595,0.0002896636,0.001229509,0.001930939,0.001917942,0.000456641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008583349,"about_ca_system_score_gemma":0.0000875539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000156259,"about_ca_topic_score_gemma":0.0002333961,"domain_scores_codex":[0.9967633,0.0006580661,0.0006008605,0.0004069626,0.001017489,0.0005532508],"domain_scores_gemma":[0.9987165,0.0000288602,0.0003823332,0.000416241,0.0002326083,0.0002234404],"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":[0.001085989,0.001452889,0.0008210719,0.00003125148,0.0004385282,0.004509374,0.1427982,0.001952173,0.004381375,0.03789287,0.803623,0.001013236],"study_design_scores_gemma":[0.001292536,0.002568832,0.008228349,0.00003618861,0.000124155,0.0184442,0.2466966,0.0001346413,0.00003608217,0.07589293,0.6457174,0.0008280125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8058927,0.001027709,0.000285264,0.0006184597,0.005380104,0.0003756288,0.0006105289,0.0005671692,0.1852424],"genre_scores_gemma":[0.9616039,0.00000571289,0.0002650521,0.0006583504,0.002506034,0.00007418916,0.0003446391,0.0001145319,0.03442759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1579056,"threshold_uncertainty_score":0.9999452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05654693291201735,"score_gpt":0.328132766306445,"score_spread":0.2715858333944277,"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."}}