{"id":"W2055687026","doi":"10.1016/j.rcim.2004.11.010","title":"Conceptual development of an enhanced tripod mechanism for machine tool","year":2005,"lang":"en","type":"article","venue":"Robotics and Computer-Integrated Manufacturing","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Mechanism (biology); Kinematics; Tripod (photography); Control theory (sociology); Degrees of freedom (physics and chemistry); Machine tool; Screw theory; Computer science; Flexibility (engineering); Micromanipulator; Stiffness; Control engineering; Torque; Simulation; Engineering; Mechanical engineering; Artificial intelligence; Control (management); Mathematics; Structural engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001180724,0.0002737277,0.000352393,0.00009344925,0.00009968497,0.00005269886,0.000165922,0.00011969,0.00001369582],"category_scores_gemma":[0.000003797585,0.0002504723,0.00005816893,0.00004547697,0.00002329871,0.0001263259,0.00004568782,0.0001475123,0.000002286573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006174858,"about_ca_system_score_gemma":0.00002964036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005540599,"about_ca_topic_score_gemma":0.00004082208,"domain_scores_codex":[0.9988174,0.00001208974,0.0004659895,0.0002594272,0.0001320979,0.00031303],"domain_scores_gemma":[0.9995163,0.00004558412,0.00007024495,0.0001930356,0.00006225733,0.0001125528],"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":[0.00001775228,0.00004799155,4.258734e-7,0.00006269358,0.00007206518,0.000001432313,0.0004564186,0.7930875,0.00339126,0.05789766,0.000009145651,0.1449557],"study_design_scores_gemma":[0.000646805,0.0001072535,0.00002144087,0.00004458481,0.00001964135,0.000005924885,0.00006384192,0.7823744,0.2148046,0.001486006,0.0001673817,0.0002580539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2009543,0.00003640617,0.7982734,0.00001240898,0.0002674534,0.0002385096,0.00001350164,0.0001573059,0.00004673408],"genre_scores_gemma":[0.4423991,0.00001759698,0.5573675,0.00003277384,0.00007338623,0.00001022303,0.00004239634,0.00002883358,0.00002821897],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2414448,"threshold_uncertainty_score":0.9999948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028226366587422,"score_gpt":0.2051123133542883,"score_spread":0.1948300496884141,"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."}}