{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003925103,0.0003561374,0.0004025516,0.0003192828,0.0004478448,0.000640937,0.003760334,0.0002332634,0.00009766837],"category_scores_gemma":[0.000457167,0.0003849066,0.0002386553,0.0007897509,0.00009767124,0.0002380041,0.007369815,0.00115384,0.00001780713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002081878,"about_ca_system_score_gemma":0.0002596359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001353436,"about_ca_topic_score_gemma":0.0005279589,"domain_scores_codex":[0.9919497,0.005040484,0.0006742175,0.001232852,0.000590106,0.0005126125],"domain_scores_gemma":[0.9947466,0.001053891,0.000540306,0.002840428,0.000654482,0.0001642435],"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":[0.00002971168,0.002477642,0.008047244,0.0005638332,0.0001965055,0.00020667,0.0147793,0.2967133,0.004473092,0.3251415,0.004736465,0.3426347],"study_design_scores_gemma":[0.0004061693,4.74739e-7,0.006481142,0.0006956927,0.00001167435,0.00001844088,0.00003953909,0.9774364,0.002932417,0.00714249,0.004328732,0.000506879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1280858,0.001686836,0.8361126,0.01802662,0.0009307172,0.0006713232,0.00001303231,0.0005601537,0.01391292],"genre_scores_gemma":[0.9150273,0.0003681466,0.08044986,0.0001504364,0.0000501014,0.00009390566,0.0001638663,0.00003783971,0.003658553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7869415,"threshold_uncertainty_score":0.9998603,"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."}}