{"id":"W2904021066","doi":"10.1609/aimag.v39i4.2836","title":"Technological Advances in Applied Intelligence","year":2018,"lang":"en","type":"article","venue":"AI Magazine","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Regina","funders":"","keywords":"Automation; Cyberspace; Biomedicine; Engineering management; Engineering; Robotics; Artificial intelligence; Intelligent decision support system; Science and engineering; Computational Science and Engineering; Computer science; Engineering ethics; The Internet; Software engineering; Robot; World Wide Web; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000240511,0.0001641115,0.0001731213,0.0002713646,0.00007781029,0.0001182846,0.0005084322,0.00009921112,0.001472894],"category_scores_gemma":[0.0001629389,0.0001333544,0.00002512076,0.001218688,0.0005165204,0.0009597813,0.0003060636,0.0001837346,0.007520934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001490002,"about_ca_system_score_gemma":0.000008333765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000172302,"about_ca_topic_score_gemma":0.0001722228,"domain_scores_codex":[0.9988803,0.000002719311,0.000260461,0.0003595638,0.0001772036,0.0003197299],"domain_scores_gemma":[0.9994583,0.00002636777,0.00008379683,0.0003195212,0.000104348,0.000007740015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006557189,0.0001257761,0.006897796,0.00007125526,0.000003179897,0.00001402628,0.000008103671,0.00001431669,0.001533629,0.3933741,0.005887548,0.5920047],"study_design_scores_gemma":[0.0001009688,0.00001168646,0.003985263,0.00004963788,0.000007060685,0.00000316851,0.00003980899,0.001538324,0.001819435,0.05000339,0.9421823,0.0002589659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03771352,0.001559641,0.1695901,0.009017247,0.001806898,0.0008903611,0.00000800672,0.001223158,0.7781911],"genre_scores_gemma":[0.9952232,0.0001123146,0.0005807717,0.003050795,0.0007383508,0.00002545294,0.00001877796,0.00001417941,0.0002361679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9575097,"threshold_uncertainty_score":0.9994399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03674092981599079,"score_gpt":0.2954567963563061,"score_spread":0.2587158665403153,"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."}}