{"id":"W4220704719","doi":"10.1002/cjce.24408","title":"Support for catalysis in <scp>C</scp>anada by the <scp>CIC C</scp>atalysis <scp>D</scp>ivision and <scp>C</scp>anadian <scp>C</scp>atalysis <scp>F</scp>oundation","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta; Imperial Oil (Canada)","funders":"","keywords":"Catalysis; Pipeline (software); Political science; Engineering; Chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.002796319,0.0008480703,0.001024888,0.001168019,0.005188071,0.005726157,0.001689077,0.003351999,0.2514498],"category_scores_gemma":[0.006963209,0.000400927,0.0007521979,0.001802505,0.001853916,0.001925706,0.004036889,0.004299086,0.06895036],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02284823,"about_ca_system_score_gemma":0.08447667,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3533597,"about_ca_topic_score_gemma":0.5737801,"domain_scores_codex":[0.9947963,0.0002114952,0.0001298107,0.0004110216,0.003347366,0.001103896],"domain_scores_gemma":[0.9879164,0.0004234975,0.0002373085,0.0006626237,0.006064041,0.004696159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005663307,0.00002219846,0.0003606716,0.0001109497,0.00001086686,0.0001121963,0.00005731623,0.0001374135,0.0008995052,0.0176032,0.9543605,0.02626852],"study_design_scores_gemma":[0.000009951821,0.00001092492,0.0003973107,0.00004626484,0.000003102127,0.000032358,0.00005793505,0.0001872417,0.0002952475,0.0009947788,0.997956,0.000008729543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003277373,0.007978589,0.004090936,0.107746,0.04681835,0.0003100459,0.006199765,0.001169512,0.8224094],"genre_scores_gemma":[0.03015255,0.006397936,0.003292181,0.007527838,0.002430469,0.00008621331,0.00423049,0.0006814693,0.9452009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9771518,"threshold_uncertainty_score":0.8411832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006973720504398198,"score_gpt":0.2102550851827674,"score_spread":0.2032813646783692,"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."}}