{"id":"W1986584921","doi":"10.1145/2470654.2470740","title":"Bending the rules","year":2013,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Gesture; Computer science; Bending; Human–computer interaction; Artificial intelligence; Computer vision; Engineering; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003290786,0.00003244662,0.00002456126,0.00001469115,0.00008044097,0.0001173207,0.0004028656,0.000007380997,0.0004750289],"category_scores_gemma":[0.00000891256,0.00001676098,0.00002459782,0.00004599413,0.00001144777,0.0005007187,0.00009988117,0.00003821358,0.003163777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006164693,"about_ca_system_score_gemma":0.000004571754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008883922,"about_ca_topic_score_gemma":0.000001083943,"domain_scores_codex":[0.9997197,0.00001228182,0.00003858869,0.00007791514,0.00005550585,0.00009605331],"domain_scores_gemma":[0.9997162,0.00005115847,0.00001245111,0.0001666291,0.00003830016,0.00001526522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[2.315928e-7,0.00001064302,0.0003436764,6.995427e-7,0.000009403919,7.851894e-7,0.0005378751,0.000001271829,0.02727456,0.9086452,0.05471649,0.008459184],"study_design_scores_gemma":[0.0003837738,0.0001511758,0.4588102,0.00002599335,0.000008317657,0.00005087655,0.00272282,0.07928463,0.2914888,0.07571411,0.09076025,0.0005991251],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06322356,0.00002657807,0.4779385,0.007542588,0.0003918191,0.0001130224,2.436632e-7,0.00002362525,0.45074],"genre_scores_gemma":[0.9930667,0.000001372637,0.002196254,0.002081149,0.00002642102,0.000007929351,2.623995e-7,0.000001304748,0.002618569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9298432,"threshold_uncertainty_score":0.9976124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009990806716102384,"score_gpt":0.2274769756374486,"score_spread":0.2174861689213462,"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."}}