{"id":"W2513174922","doi":"10.5006/2193","title":"Materials Selection for Use in Concentrated Hydrochloric Acid","year":2016,"lang":"en","type":"article","venue":"CORROSION","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Hydrochloric acid; Selection (genetic algorithm); Metallurgy; Chemistry; Materials science; Computer science; 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":[0.001397897,0.001671462,0.001059156,0.00207196,0.000910187,0.000555874,0.001261894,0.001417596,0.02457025],"category_scores_gemma":[0.002579839,0.0007149452,0.0006943726,0.001159554,0.0002663892,0.0005753897,0.0005492464,0.0007416556,0.0186499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002577571,"about_ca_system_score_gemma":0.0006584153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005517658,"about_ca_topic_score_gemma":0.001661029,"domain_scores_codex":[0.9987677,0.0001705431,0.0001907548,0.0002725745,0.0004481359,0.0001503428],"domain_scores_gemma":[0.9982777,0.0001874464,0.0001175832,0.0002411096,0.00108313,0.00009307578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001100993,0.000395664,0.0009552937,0.002326673,0.00002711146,0.0006258604,0.0001672587,0.0004475871,0.9501192,0.001032365,0.006460018,0.03634194],"study_design_scores_gemma":[0.0002410852,0.001705748,0.003800622,0.0004480271,0.0001304099,0.0007789135,0.0001789181,0.001010924,0.8106348,0.0003764041,0.1805998,0.00009415622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6010084,0.01905082,0.1959814,0.001701279,0.003704988,0.04869661,0.0210184,0.01022592,0.0986122],"genre_scores_gemma":[0.4886003,0.02096046,0.3393615,0.002179019,0.0006650529,0.04840268,0.02497601,0.002636772,0.07221829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02457025,"threshold_uncertainty_score":0.0821957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02460730849065683,"score_gpt":0.2473637201741182,"score_spread":0.2227564116834614,"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."}}