{"id":"W4404060903","doi":"10.21203/rs.3.rs-5338871/v1","title":"End-to-End Semantically Aware Tactile Generation","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; End-to-end principle; Computer vision; 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":"codex-gemma-dda1882f352a","candidate_categories":["open_science","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001556972,0.0002630016,0.000339172,0.0007771435,0.0005188035,0.0007253452,0.001792309,0.0005093365,0.0001576168],"category_scores_gemma":[0.0004353104,0.0002319128,0.0001480978,0.0008783453,0.0001980159,0.00009653735,0.01063408,0.00264653,0.001211782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002293372,"about_ca_system_score_gemma":0.0005700283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001621734,"about_ca_topic_score_gemma":0.0003081409,"domain_scores_codex":[0.9961694,0.0003105889,0.0003020033,0.001222482,0.001246205,0.0007493336],"domain_scores_gemma":[0.9973666,0.0002714575,0.00003795104,0.001584378,0.0005617695,0.0001778338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001378784,0.0001949622,0.0003869499,0.001554089,0.0003006885,0.000745699,0.007099942,0.0002875872,0.001019259,0.5589641,0.332083,0.09734988],"study_design_scores_gemma":[0.0004274196,0.00090279,0.004989566,0.00210772,0.00005430501,0.00006849453,0.000959574,0.1554428,0.005149821,0.478498,0.3495267,0.001872816],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.227858,0.008535474,0.5503254,0.1394093,0.009571193,0.005246411,0.0003573605,0.00463431,0.05406253],"genre_scores_gemma":[0.9890419,0.0001891424,0.005675539,0.0001750071,0.0006818233,0.0004208445,0.00003458362,0.00002639858,0.003754742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7611839,"threshold_uncertainty_score":0.9996544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08803054328464105,"score_gpt":0.3926173742857266,"score_spread":0.3045868310010856,"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."}}