{"id":"W2166264984","doi":"10.1109/isic.1991.187359","title":"Intelligent re-location based manipulation of objects using robot hands. II. Process modelling and implementation issues","year":2002,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Context (archaeology); Process (computing); Robot; Abstraction; Artificial intelligence; Object (grammar); Human–computer interaction; Programming language","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":[0.002162356,0.0006666614,0.0008067318,0.0007124677,0.0004911686,0.002812152,0.00236463,0.001764571,0.005707912],"category_scores_gemma":[0.003420327,0.0007005869,0.0008460335,0.0006735967,0.002104081,0.005427517,0.001213599,0.001108602,0.00188408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707351,"about_ca_system_score_gemma":0.001143376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00260713,"about_ca_topic_score_gemma":0.00274433,"domain_scores_codex":[0.9984292,0.00044062,0.0001233467,0.0002342911,0.0006741945,0.00009840078],"domain_scores_gemma":[0.9982324,0.0009670886,0.0001783794,0.0004065238,0.0001806076,0.00003496454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001411814,0.000105454,0.0006966298,0.001133294,0.00005963743,0.0004681846,0.001431663,0.1234963,0.03281094,0.4058987,0.005208564,0.4285495],"study_design_scores_gemma":[0.00004642157,0.0002540201,0.0009884968,0.0004055058,0.00008005973,0.0008093095,0.0006494008,0.6168616,0.05021798,0.2166226,0.1129447,0.0001197622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002897726,0.001005059,0.9853439,0.0007864784,0.00004267081,0.00008032635,0.00002722626,0.0009356043,0.008881005],"genre_scores_gemma":[0.218777,0.003982311,0.7468288,0.0003969974,0.00006990961,0.0005739285,0.0001607592,0.0002483584,0.0289619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005707912,"threshold_uncertainty_score":0.01909488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08900911437735462,"score_gpt":0.3132214068771526,"score_spread":0.224212292499798,"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."}}