{"id":"W4399127227","doi":"10.21428/f1f23564.e6811dea","title":"DHSI 2022 Conference &amp; Colloquium Special Issue of IDEAH: Introduction","year":2024,"lang":"en","type":"article","venue":"IDEAH","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Engineering physics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004871417,0.002087679,0.001307125,0.002790292,0.003508655,0.0128143,0.002268407,0.003202069,0.2773784],"category_scores_gemma":[0.009228935,0.0007213301,0.001177133,0.0025451,0.00180728,0.005575413,0.004885352,0.006181959,0.1493556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004750136,"about_ca_system_score_gemma":0.004991301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0029884,"about_ca_topic_score_gemma":0.007446586,"domain_scores_codex":[0.9969882,0.0004591747,0.0001834172,0.0004659859,0.00141644,0.0004867361],"domain_scores_gemma":[0.9899468,0.001266358,0.000443866,0.0006391518,0.003426343,0.004277548],"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":[0.000009635492,0.00001587917,0.00003862067,0.0000772198,0.000001512506,0.00001837191,0.00004294827,0.00001440008,0.000111473,0.0005641397,0.9926669,0.00643898],"study_design_scores_gemma":[0.000002775778,0.00001200432,0.0001525063,0.00005460183,9.542783e-7,0.00001937947,0.00007069965,0.00001295906,0.00004031166,0.0001877657,0.9994413,0.000004657299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0007979457,0.01394571,0.00205847,0.04824213,0.7444262,0.0004283488,0.002258037,0.001112632,0.1867305],"genre_scores_gemma":[0.00578414,0.01116232,0.001697497,0.01562559,0.2124429,0.0005783825,0.003069642,0.002146708,0.747493],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2773784,"threshold_uncertainty_score":0.9279231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504639068693286,"score_gpt":0.2367409879831896,"score_spread":0.2216945972962568,"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."}}