{"id":"W4253375832","doi":"10.1002/9783527809080.cataz12641","title":"Petro Canada process","year":2020,"lang":"en","type":"other","venue":"Catalysis from A to Z","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Process (computing); Library science; Information retrieval; World Wide Web; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000584064,0.001621775,0.0006376164,0.002547115,0.004192046,0.004098779,0.001721235,0.001599102,0.3392068],"category_scores_gemma":[0.0008422482,0.0005594419,0.0008459045,0.001915869,0.0009975572,0.001417405,0.002136398,0.002305138,0.1493105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01309168,"about_ca_system_score_gemma":0.02505185,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5887773,"about_ca_topic_score_gemma":0.7265334,"domain_scores_codex":[0.9986216,0.00003742795,0.00001663617,0.0001567099,0.0009219599,0.0002455802],"domain_scores_gemma":[0.9993772,0.00002556689,0.00001603968,0.00006368513,0.00042747,0.00009001296],"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":[0.0002624182,0.0001289794,0.0006688876,0.0005006308,0.00002230148,0.0003479345,0.0001569208,0.00079959,0.00896216,0.08288386,0.7463103,0.158956],"study_design_scores_gemma":[0.00001438908,0.00001421396,0.0003888959,0.00003835807,0.000005000363,0.00006075235,0.00005053661,0.0002588372,0.003279809,0.001603855,0.9942766,0.000008895784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001794535,0.0007793473,0.001261123,0.001000292,0.0003554942,0.0001522249,0.005499419,0.0005663615,0.9885913],"genre_scores_gemma":[0.008779787,0.001117534,0.001684815,0.0003311055,0.00003209167,0.00004791921,0.003754517,0.0002620971,0.98399],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4112227,"threshold_uncertainty_score":0.9425412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0085074542652521,"score_gpt":0.2252703871787387,"score_spread":0.2167629329134866,"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."}}