{"id":"W2790618748","doi":"10.3138/topia.38.25","title":"Abstract Numbers Close at Hand: The Tactile, Numbers and Money in McLuhan’s Works","year":2017,"lang":"en","type":"article","venue":"TOPIA Canadian Journal of Cultural Studies","topic":"Media, Communication, and Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad de La Sabana","keywords":"GRASP; Conceptualization; Argument (complex analysis); Value (mathematics); Oracle; Sociology; Epistemology; Computer science; Philosophy; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005720044,0.00007855552,0.00015966,0.00003976488,0.002918191,0.0002941943,0.0004150547,0.00005330405,0.00007740008],"category_scores_gemma":[0.0009291528,0.00005087591,0.0000446923,0.00005395857,0.0007880196,0.0005134102,0.00002577883,0.0002098645,0.000006627567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003597842,"about_ca_system_score_gemma":0.0003796005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2578234,"about_ca_topic_score_gemma":0.9469098,"domain_scores_codex":[0.9992175,0.00008860388,0.0002160623,0.0000718426,0.0001671544,0.0002388837],"domain_scores_gemma":[0.9989418,0.0001371197,0.0002813954,0.0001789293,0.0002036749,0.0002570123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00001836233,0.00001286067,0.2413898,0.00001464427,0.000125133,0.00001922072,0.6985911,0.000006464337,0.00001932061,0.002134608,0.03956326,0.01810521],"study_design_scores_gemma":[0.0002600969,0.00001231284,0.6966054,0.0001634949,0.00002498532,0.00001002928,0.1737493,5.137337e-7,0.00001653991,0.001740398,0.1273028,0.000114084],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524856,0.006160263,9.554481e-8,0.02321917,0.0008582898,0.00008815545,0.000001493547,0.000001991583,0.01718491],"genre_scores_gemma":[0.9902693,0.007217036,0.0000337616,0.0001528849,0.0003964459,0.000003882352,6.659795e-7,0.000003236315,0.00192281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6890864,"threshold_uncertainty_score":0.9983799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06875403920499579,"score_gpt":0.3690855427254355,"score_spread":0.3003315035204397,"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."}}