{"id":"W4294073368","doi":"","title":"Potential semiotic synergy in TouchTimes multiplication","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Semiotics; Multiplication (music); Computer science; Arithmetic; Mathematics; Linguistics; Philosophy; Combinatorics","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":[0.0003706096,0.0004171116,0.0004342816,0.0005807035,0.001002576,0.002981254,0.0005250601,0.0008582073,0.03580777],"category_scores_gemma":[0.00239919,0.0003140252,0.0004792559,0.0005656397,0.001828997,0.003920683,0.002232774,0.0009863267,0.002113713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000376364,"about_ca_system_score_gemma":0.0002521228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001865474,"about_ca_topic_score_gemma":0.0001980354,"domain_scores_codex":[0.9996439,0.00009770105,0.00002240001,0.00007901802,0.0001071716,0.00004984036],"domain_scores_gemma":[0.9992861,0.0003540373,0.00004662871,0.00009866535,0.00009894879,0.0001156125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002361094,0.00002402556,0.0001774696,0.0001138515,0.00001353601,0.0004782836,0.0009379575,0.003539146,0.02027449,0.9479032,0.000932986,0.0253688],"study_design_scores_gemma":[0.000037752,0.0001410691,0.0006537192,0.00004462354,0.0000145002,0.0006939417,0.0007124511,0.04879233,0.006711513,0.9342484,0.007912338,0.00003737707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2441296,0.0008514472,0.4881172,0.001393867,0.0007213508,0.00008487823,0.0001702215,0.0005603972,0.2639712],"genre_scores_gemma":[0.9594752,0.0001642827,0.01651584,0.00005628947,0.00006687236,0.00003841959,0.00003853555,0.0001047994,0.02353964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03580777,"threshold_uncertainty_score":0.1197889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017078561081357,"score_gpt":0.221609818669394,"score_spread":0.2114390330585804,"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."}}