{"id":"W2095225531","doi":"10.1080/09511920410001719811","title":"Design optimization and remote manipulation of a tripod","year":2004,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Tripod (photography); Kinematics; Controllability; Automation; Computer science; Control engineering; Machine tool; Engineering; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000286882,0.0005498082,0.0004779463,0.0003402718,0.0002452867,0.000588001,0.0006208029,0.0005706036,0.00284376],"category_scores_gemma":[0.0006728708,0.000287509,0.0004831167,0.0002216312,0.0003680203,0.0004378354,0.0005293205,0.0004136504,0.0004502641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002449511,"about_ca_system_score_gemma":0.00041442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007457859,"about_ca_topic_score_gemma":0.0007104747,"domain_scores_codex":[0.9997568,0.00004237056,0.00001096956,0.00007880274,0.00008266707,0.00002834486],"domain_scores_gemma":[0.9997025,0.00008466,0.00005706348,0.00005970645,0.00007316915,0.00002282651],"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":[0.0001897405,0.0001403402,0.00108301,0.0006396907,0.00009060681,0.0003556553,0.0001671321,0.7062607,0.1432302,0.009824951,0.001069313,0.1369486],"study_design_scores_gemma":[0.00004961845,0.0007861921,0.0006425972,0.00001661121,0.00004100335,0.0001684804,0.0000528157,0.9742277,0.01634144,0.001882309,0.005771964,0.00001930011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05489796,0.0002209437,0.9352724,0.00007256465,0.00003430841,0.0001453926,0.00004293421,0.0003484323,0.008965009],"genre_scores_gemma":[0.8167819,0.0002362846,0.1770304,0.00003950764,0.00001835891,0.0003553417,0.0001005886,0.00007832681,0.005359347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00284376,"threshold_uncertainty_score":0.009513378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331439120825443,"score_gpt":0.2155930007288254,"score_spread":0.202278609520571,"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."}}