{"id":"W1904421210","doi":"10.24908/pceea.v0i0.3854","title":"LINE WEAR SENSOR DESIGN","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grind; Comminution; Mill; Process engineering; Mechanical engineering; Automotive engineering; Materials science; Engineering; Metallurgy; Grinding","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006506692,0.00112266,0.0009704558,0.0009754369,0.0004027124,0.001389464,0.002937501,0.001730714,0.004780022],"category_scores_gemma":[0.00175727,0.0004786535,0.0003956244,0.0005979061,0.0002969364,0.001559432,0.0005742263,0.0008833215,0.003240949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005576924,"about_ca_system_score_gemma":0.0004736039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007927105,"about_ca_topic_score_gemma":0.0008600557,"domain_scores_codex":[0.9982178,0.0001321513,0.00008989859,0.0004497867,0.00104103,0.00006948282],"domain_scores_gemma":[0.9983785,0.0001980278,0.0001830239,0.0001393363,0.001036431,0.00006461747],"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":[0.0006710771,0.0002042839,0.002732631,0.001701244,0.00009501282,0.000528672,0.0003567927,0.005823694,0.6246206,0.002340687,0.01514194,0.3457833],"study_design_scores_gemma":[0.0001023319,0.002399957,0.006023827,0.0001809203,0.0001560005,0.005162991,0.0002158749,0.09048764,0.7610709,0.001342514,0.1326638,0.000193227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03435705,0.003230241,0.9406995,0.0004995576,0.0010791,0.001195466,0.001203652,0.005706441,0.01202902],"genre_scores_gemma":[0.4623222,0.002944376,0.4799098,0.001563191,0.0004016448,0.001004417,0.002306161,0.0004457278,0.04910235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004780022,"threshold_uncertainty_score":0.01599079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725457309955671,"score_gpt":0.185189974601533,"score_spread":0.1679354015019763,"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."}}