{"id":"W2542026628","doi":"","title":"Corporeal concepts and kinetic semantics","year":2014,"lang":"en","type":"article","venue":"PhaenEx","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Semantics (computer science); Computer science; Epistemology; Philosophy; Programming language","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":[0.0006699053,0.0005726044,0.0004619888,0.00156453,0.0009909954,0.002879489,0.0008941252,0.000881665,0.01272146],"category_scores_gemma":[0.002376908,0.0002994533,0.000820056,0.001311723,0.0048366,0.01113467,0.001985162,0.001659443,0.0009048368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007049758,"about_ca_system_score_gemma":0.0003661901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007372831,"about_ca_topic_score_gemma":0.0005829745,"domain_scores_codex":[0.999643,0.00009953857,0.00003108653,0.0001234628,0.00007002064,0.00003288666],"domain_scores_gemma":[0.9994612,0.0002179593,0.00007239536,0.0001190331,0.00007704315,0.00005224796],"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":[0.000007919033,0.00000312188,0.00005983688,0.00002693014,0.000004675363,0.00001885904,0.00009822475,0.0006848455,0.0001307818,0.9941589,0.0002260705,0.004579936],"study_design_scores_gemma":[0.000002577312,0.000004702194,0.00008572835,0.00001017003,0.000003339593,0.00003021051,0.00004072378,0.003399554,0.0001245208,0.9942332,0.002061456,0.000003773422],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08937054,0.003747815,0.762246,0.002464035,0.0005264349,0.00005538232,0.0007911627,0.0004479085,0.1403507],"genre_scores_gemma":[0.9066405,0.001796701,0.0642181,0.0003382194,0.0003538632,0.00009393581,0.0006343211,0.0002030454,0.02572129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01272146,"threshold_uncertainty_score":0.04255748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204742114093857,"score_gpt":0.2586650695000732,"score_spread":0.2466176483591346,"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."}}