{"id":"W2048535022","doi":"10.1145/2702123.2702134","title":"Clutching Is Not (Necessarily) the Enemy","year":2015,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Clutch; Computer science; Cursor (databases); Simulation; Control theory (sociology); Control (management); Engineering; Artificial intelligence","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":[0.00111737,0.0005475925,0.0005559577,0.0001990483,0.0004800085,0.001050292,0.0005569647,0.0008800493,0.006475084],"category_scores_gemma":[0.006465131,0.000370486,0.0002788337,0.0001072577,0.001212236,0.001597782,0.001312923,0.0008691197,0.0009013008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997806,"about_ca_system_score_gemma":0.0003874855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006104128,"about_ca_topic_score_gemma":0.0007282638,"domain_scores_codex":[0.999313,0.0000897949,0.00006981033,0.0002545845,0.0001887336,0.00008410805],"domain_scores_gemma":[0.9961382,0.001384042,0.0008480147,0.0009809155,0.0003307193,0.0003181473],"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":[0.003926633,0.0003145814,0.02535049,0.002788016,0.0004325688,0.001873727,0.002961811,0.003638101,0.8020438,0.02154983,0.003390866,0.1317295],"study_design_scores_gemma":[0.000888566,0.0117293,0.3240047,0.001502892,0.001503663,0.01212042,0.004433138,0.0325793,0.4186789,0.05417847,0.1376852,0.0006954197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9002313,0.002076595,0.07317805,0.00106712,0.0004284245,0.0001398088,0.0001647949,0.0009884224,0.02172558],"genre_scores_gemma":[0.9863936,0.0002861714,0.009171246,0.0002917816,0.00002858633,0.00005204982,0.00006506265,0.0001034258,0.003608051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006475084,"threshold_uncertainty_score":0.02166134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1533199811192698,"score_gpt":0.3387760182261315,"score_spread":0.1854560371068617,"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."}}