{"id":"W4384281610","doi":"10.5281/zenodo.849328","title":"Computer Vision Method For Guitarist Fingering Retrieval","year":2006,"lang":"en","type":"preprint","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Computer graphics (images); Information retrieval","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":[0.001327804,0.0003340681,0.0005253671,0.0001625256,0.0001326246,0.0006968752,0.001204397,0.0004206692,0.000014542],"category_scores_gemma":[0.00003963219,0.0002941726,0.0003144466,0.0001928735,0.00001596967,0.0001738176,0.001686334,0.0003839358,0.00005006303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001019238,"about_ca_system_score_gemma":0.0001184152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001637485,"about_ca_topic_score_gemma":0.00003143033,"domain_scores_codex":[0.9974275,0.0001645045,0.0006028587,0.001030854,0.0004099998,0.0003642729],"domain_scores_gemma":[0.9978545,0.0004523317,0.0002829845,0.0009686153,0.0003365169,0.0001050504],"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":[0.00004937144,0.0002318347,0.00008373798,0.001395803,0.000214866,0.00005024276,0.0006117891,0.009649294,0.000807561,0.01402242,0.2043916,0.7684914],"study_design_scores_gemma":[0.0005256373,0.0001476218,0.0004400413,0.000373452,0.00002355364,0.00004627213,0.000003169015,0.8649923,0.00203311,0.01078202,0.1199256,0.0007071818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001604428,0.0001441647,0.9877577,0.000908516,0.003813945,0.0008375595,0.00002323381,0.0005005323,0.005853939],"genre_scores_gemma":[0.00490245,0.000004528407,0.9915404,0.0003266005,0.001295263,0.00005017193,0.00006888342,0.00002702005,0.001784626],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.855343,"threshold_uncertainty_score":0.9999511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0308465615909553,"score_gpt":0.326620204063788,"score_spread":0.2957736424728327,"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."}}