{"id":"W3107233561","doi":"10.20858/sjsutst.2020.109.1","title":"ENGINEERING DESIGN OF A MANIPULATOR FOR MOUNTING AN AIR SUSPENSION COMPRESSOR TO A CAR CHASSIS","year":2020,"lang":"en","type":"article","venue":"Scientific Journal of Silesian University of Technology Series Transport","topic":"Transport and Logistics Innovations","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Chassis; Manipulator (device); Automotive engineering; Gas compressor; Suspension (topology); Air compressor; Engineering; Process (computing); Line (geometry); Engineering design process; Mechanical engineering; Manufacturing engineering; Computer science; Robotic arm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005166479,0.0007779336,0.0003365959,0.000743936,0.0005845641,0.000720102,0.0008403687,0.0009913599,0.004154738],"category_scores_gemma":[0.0004410925,0.000393996,0.0004581755,0.0002324518,0.0004540879,0.0003703654,0.0003662872,0.0004603706,0.0009534995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003593861,"about_ca_system_score_gemma":0.001135857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223086,"about_ca_topic_score_gemma":0.001139158,"domain_scores_codex":[0.99949,0.00006073375,0.00001984547,0.0001022621,0.0002840144,0.00004305522],"domain_scores_gemma":[0.999719,0.00005209841,0.00004759012,0.00003142007,0.000114985,0.00003494568],"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":[0.0002351637,0.0001338265,0.002933365,0.001908269,0.0001437741,0.001397292,0.0006991046,0.07107136,0.6436442,0.02571361,0.003223518,0.2488965],"study_design_scores_gemma":[0.0003090851,0.008763473,0.0189705,0.0005550839,0.000359995,0.005999685,0.0006194919,0.3407931,0.306127,0.006634374,0.310569,0.0002991162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04662372,0.001276101,0.9239691,0.0003373117,0.0002265407,0.0004004538,0.0001105776,0.0009875157,0.02606875],"genre_scores_gemma":[0.500481,0.00151555,0.4697807,0.00008589416,0.0001506836,0.0004958948,0.0002270718,0.0001030572,0.02716016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004154738,"threshold_uncertainty_score":0.01389897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02456724094609769,"score_gpt":0.1916301443176486,"score_spread":0.1670629033715509,"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."}}