{"id":"W4413568225","doi":"10.64628/aam.xrdj55xfg","title":"Hidden in plain sight: The infrastructures that support artificial intelligence","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Sight; Artificial intelligence; Computer science; Geology; Mining engineering; Physics; Optics","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":[0.001089396,0.0005971481,0.0004821608,0.0007497114,0.0007953566,0.005015924,0.0008219586,0.001963759,0.00731437],"category_scores_gemma":[0.00928599,0.0005095658,0.0003906824,0.001240987,0.003911855,0.01358698,0.003127022,0.003268133,0.001098656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085073,"about_ca_system_score_gemma":0.001050837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002220021,"about_ca_topic_score_gemma":0.001330572,"domain_scores_codex":[0.9991993,0.0003127923,0.00002888573,0.0001360458,0.000226782,0.00009613283],"domain_scores_gemma":[0.99743,0.001245755,0.0001905284,0.000741909,0.0002310493,0.000160841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006188564,0.00002965881,0.0004330567,0.00006428979,0.00002614442,0.0001444433,0.0002794641,0.01435036,0.001170324,0.9536549,0.006173762,0.02361174],"study_design_scores_gemma":[0.000006967974,0.000005534503,0.0001489328,0.00002022864,0.000008191448,0.00003821849,0.00009661909,0.03723627,0.0008293299,0.9483566,0.01324702,0.000006045838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.08172832,0.006404534,0.7471938,0.02720764,0.0009880877,0.0000750667,0.0004303868,0.001416665,0.1345555],"genre_scores_gemma":[0.9036667,0.003411246,0.06361507,0.0006080723,0.0005074987,0.00006634919,0.0003742255,0.0004330451,0.02731783],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.00731437,"threshold_uncertainty_score":0.02446908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0231590133899481,"score_gpt":0.2414675644485748,"score_spread":0.2183085510586267,"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."}}