{"id":"W4366678323","doi":"10.1109/iccicc57084.2022.10101570","title":"A Society-Oriented Environment of Machine Learning","year":2022,"lang":"en","type":"article","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Natural (archaeology); Artificial intelligence; Human–computer interaction; Data 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00683364,0.0008289717,0.0009446433,0.002538362,0.003565728,0.012007,0.001961918,0.0046504,0.01182493],"category_scores_gemma":[0.009968839,0.0005193502,0.0006768093,0.002205154,0.01591034,0.01293207,0.009181002,0.006852602,0.003803162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003889075,"about_ca_system_score_gemma":0.004555446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002757491,"about_ca_topic_score_gemma":0.001587446,"domain_scores_codex":[0.9946326,0.002797377,0.0001411832,0.0009082182,0.001107596,0.000413074],"domain_scores_gemma":[0.9926431,0.003343654,0.0004148266,0.00149635,0.001077014,0.001024968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005113113,0.00001422375,0.0001077819,0.0000276442,0.000008900588,0.00005008723,0.0003486478,0.0006090397,0.00006973746,0.9892544,0.003999652,0.005504658],"study_design_scores_gemma":[0.00000831595,0.00001413938,0.00009754283,0.00004173843,0.000003354242,0.0000427235,0.0002419196,0.001914884,0.00007540481,0.89691,0.1006381,0.00001184817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01214824,0.01584568,0.2982777,0.1326894,0.002949968,0.0001749636,0.0005379706,0.0007972618,0.5365788],"genre_scores_gemma":[0.7506363,0.0194279,0.1184941,0.01248897,0.007203074,0.0007402715,0.0007759563,0.0005335867,0.08969986],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.012007,"threshold_uncertainty_score":0.03955835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03267422475193613,"score_gpt":0.2332733547295616,"score_spread":0.2005991299776255,"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."}}