{"id":"W4377832586","doi":"10.18280/ts.400215","title":"A Novel Visual Positioning Algorithm for Massage Acupoints Based on Image Registration","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Color perception and design","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Image registration; Artificial intelligence; Massage; Computer vision; Computer science; Image (mathematics); Medicine; Alternative medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002904783,0.0005863159,0.0006236777,0.0006089845,0.0003643812,0.0006597341,0.001095973,0.0007235239,0.002136999],"category_scores_gemma":[0.0008345966,0.0003265482,0.0006798028,0.0005986497,0.00032725,0.0009494093,0.0007576459,0.0006708634,0.0007617417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004720461,"about_ca_system_score_gemma":0.0007163511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003752236,"about_ca_topic_score_gemma":0.002596696,"domain_scores_codex":[0.9997182,0.00001999936,0.00001774236,0.0001093244,0.0001040771,0.00003065785],"domain_scores_gemma":[0.9998119,0.00002684298,0.00002787919,0.00003189428,0.00008304959,0.00001841781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003220355,0.00005226604,0.001290072,0.0001711672,0.00004887479,0.0002434723,0.0002064703,0.06480679,0.1053408,0.006431249,0.003574046,0.8175128],"study_design_scores_gemma":[0.00005559254,0.0002169583,0.00186249,0.00002356398,0.00007279678,0.0007306425,0.00005872688,0.9351663,0.05031998,0.003409939,0.008035998,0.0000469842],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009482893,0.0001900331,0.9878251,0.00007468792,0.00006874565,0.00004629285,0.00002594358,0.0009316108,0.001354804],"genre_scores_gemma":[0.3464407,0.0006447671,0.6424229,0.0002064752,0.0001028972,0.0001516262,0.0002179151,0.0002177502,0.009594926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003752236,"threshold_uncertainty_score":0.007460773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04641512542712337,"score_gpt":0.3517739264533966,"score_spread":0.3053588010262732,"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."}}