{"id":"W7046619686","doi":"","title":"Design and development of an impact wear testing device for the minerals industry","year":2004,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grinding; Mill; Adhesive wear; Process (computing); Product (mathematics); Energy consumption; Corrosion","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":[],"consensus_categories":[],"category_scores_codex":[0.0008253299,0.0006500395,0.0005262663,0.000894221,0.0006436617,0.0009587699,0.002009355,0.001038804,0.008567573],"category_scores_gemma":[0.001017256,0.0004110913,0.0003581912,0.0003802405,0.0002958981,0.0008616492,0.0006745594,0.000453381,0.003303184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004998168,"about_ca_system_score_gemma":0.0009990865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000997179,"about_ca_topic_score_gemma":0.001433614,"domain_scores_codex":[0.999173,0.00006727945,0.00004104987,0.0001376484,0.00050293,0.00007811857],"domain_scores_gemma":[0.9990751,0.0001746105,0.00008923015,0.0001155174,0.0004629541,0.00008265372],"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":[0.0007678374,0.0004002989,0.008311336,0.0007744686,0.00006716017,0.0005989923,0.0006980938,0.002985444,0.7163639,0.005513573,0.01252523,0.2509937],"study_design_scores_gemma":[0.0002718475,0.005571344,0.01454911,0.0001274682,0.0001761389,0.002088675,0.0005062527,0.05536657,0.7338384,0.0008988118,0.1864766,0.0001288651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1991493,0.001253362,0.7367182,0.001251291,0.0008736384,0.002960742,0.001083604,0.01161473,0.04509513],"genre_scores_gemma":[0.5827472,0.0006832837,0.3426342,0.0006166237,0.000121141,0.001302501,0.0007868774,0.000418552,0.07068959],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008567573,"threshold_uncertainty_score":0.02866137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06086427916010842,"score_gpt":0.3184680528964445,"score_spread":0.2576037737363361,"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."}}