{"id":"W7070556725","doi":"","title":"Optimization and visualization of rapid prototyping process parameters.","year":2004,"lang":"en","type":"dissertation","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Doping in Sports","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visualization; Process (computing); Virtual prototyping; Rapid prototyping; Function (biology); Selection (genetic algorithm)","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":[0.002006699,0.001007198,0.0006552287,0.0007564473,0.0003027975,0.002095418,0.0006216271,0.0007764924,0.005472697],"category_scores_gemma":[0.004380269,0.0006125812,0.0007299,0.0007490749,0.0003708268,0.001298152,0.0009401995,0.0007801418,0.001603669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005445105,"about_ca_system_score_gemma":0.0006780748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005959612,"about_ca_topic_score_gemma":0.0007663969,"domain_scores_codex":[0.9985963,0.0004590778,0.00005909989,0.0001278399,0.0006976479,0.00006003957],"domain_scores_gemma":[0.9982926,0.0009300446,0.0002389252,0.000168443,0.0003339,0.00003605153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002589912,0.00009055204,0.001437145,0.001167116,0.00006948682,0.0001518613,0.0002278152,0.5630232,0.07886806,0.01906589,0.008195353,0.3274444],"study_design_scores_gemma":[0.00004771461,0.0002179876,0.00121406,0.0001072272,0.00004772576,0.0002473053,0.0001122967,0.8849914,0.07059372,0.01057532,0.03177686,0.00006839595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02008876,0.002163041,0.96237,0.0004205961,0.0001216939,0.0001787935,0.0003697982,0.00162528,0.012662],"genre_scores_gemma":[0.4264078,0.003178913,0.5583295,0.00009575937,0.00004787929,0.0005018875,0.000691456,0.0006810484,0.01006568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005472697,"threshold_uncertainty_score":0.01830798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243062891273795,"score_gpt":0.2940014771871742,"score_spread":0.2715708482744363,"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."}}