{"id":"W2470288768","doi":"10.5006/c2016-07680","title":"Materials Selection for Use in Hydrochloric Acid","year":2016,"lang":"en","type":"article","venue":"","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Selection (genetic algorithm); Hydrochloric acid; Computer science; Materials science; Metallurgy; Artificial intelligence","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":[0.0007495033,0.001418444,0.0006486594,0.001348848,0.000664152,0.0004036839,0.0007856303,0.001115169,0.02002919],"category_scores_gemma":[0.001418548,0.000444893,0.0004105933,0.0007802731,0.0001701653,0.0004332791,0.0003692617,0.0004638614,0.01189444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001963954,"about_ca_system_score_gemma":0.0004403898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004406949,"about_ca_topic_score_gemma":0.001093632,"domain_scores_codex":[0.9993037,0.00009577416,0.000095832,0.0001689424,0.0002433084,0.00009257643],"domain_scores_gemma":[0.9989557,0.0001206661,0.00008717218,0.0001382726,0.0006260328,0.00007213413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007791559,0.0001702389,0.0007053723,0.001054174,0.00001605851,0.0004077533,0.000070608,0.0002490384,0.9711121,0.0005597369,0.003456152,0.02141966],"study_design_scores_gemma":[0.0001159425,0.0009724246,0.002929406,0.0001667906,0.00006301065,0.0004344459,0.00007373503,0.0007280805,0.8912713,0.0001811431,0.1030204,0.00004325416],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7825264,0.01164845,0.08691059,0.0009801156,0.001955895,0.01727846,0.01438941,0.006288027,0.07802273],"genre_scores_gemma":[0.7210293,0.008909014,0.1668931,0.001196844,0.0002889518,0.02044325,0.01598353,0.001824903,0.063431],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02002919,"threshold_uncertainty_score":0.06700432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03354577006216581,"score_gpt":0.2751736359292194,"score_spread":0.2416278658670536,"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."}}