{"id":"W2806142594","doi":"10.3390/met8060398","title":"The Aqueous Electrochemical Response of TiC–Stainless Steel Cermets","year":2018,"lang":"en","type":"article","venue":"Metals","topic":"Advanced materials and composites","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Division of Materials Research; Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Cermet; Materials science; Corrosion; Scanning electron microscope; Dissolution; Metallurgy; Ceramic; Dielectric spectroscopy; Titanium carbide; Electrochemistry; Energy-dispersive X-ray spectroscopy; Aqueous solution; Carbide; Composite material; Chemical engineering; Chemistry; Electrode","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002047635,0.00007459849,0.0001272522,0.00001695158,0.00004536963,0.0000166985,0.0001284106,0.00002898302,0.00002938906],"category_scores_gemma":[0.00006202573,0.00005142616,0.00003306714,0.00006184611,0.00006429507,0.00003302602,0.00002559305,0.00003701007,0.00003347611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001669169,"about_ca_system_score_gemma":0.000006952912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.03939e-7,"about_ca_topic_score_gemma":0.000001404755,"domain_scores_codex":[0.9994968,0.00004013819,0.0001494976,0.00006883131,0.00007689071,0.0001678309],"domain_scores_gemma":[0.9995583,0.0001672173,0.00002339097,0.0001872174,0.0000382147,0.000025696],"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":[0.0001184488,0.000005224811,0.000001938197,0.000009377719,0.00002240874,7.647712e-7,0.00004196825,0.00004354541,0.9979615,0.0003890596,0.0001895919,0.001216237],"study_design_scores_gemma":[0.00008021556,0.00004906235,0.000113548,0.000005958711,0.00001080529,0.000004874537,0.00001032548,0.0008300479,0.9775509,0.0007960994,0.02048496,0.00006320757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935383,0.0009054413,0.004391344,0.00004378504,0.0001246998,0.00006508075,0.000002830255,0.00007371,0.00085477],"genre_scores_gemma":[0.9981253,0.00003501025,0.001375634,0.00001774161,0.00008629348,0.000009743574,7.839497e-7,0.00001595659,0.0003335866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02041054,"threshold_uncertainty_score":0.2097098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005791008450247581,"score_gpt":0.2232710914025155,"score_spread":0.2174800829522679,"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."}}