{"id":"W1989605135","doi":"10.15173/jpc.v3i2.158","title":"Art-science and verbal articulation in hyper-visual techno-culture","year":2014,"lang":"en","type":"article","venue":"Journal of Professional Communication","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Comprehension; Articulation (sociology); Expression (computer science); Psychology; Focus (optics); Multidisciplinary approach; Cognition; Argument (complex analysis); Cognitive science; Cognitive psychology; Visual language; Linguistics; Visual rhetoric; Sociology; Computer science; Rhetoric; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002275581,0.00004685597,0.00009669751,0.0001959317,0.0003530507,0.00004677991,0.000321599,0.00008847731,0.000009274843],"category_scores_gemma":[0.001133099,0.00003714444,0.00001620885,0.000454706,0.0004061484,0.0006180329,0.0001259375,0.0002640843,0.000005410917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001327006,"about_ca_system_score_gemma":0.0002543179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000111535,"about_ca_topic_score_gemma":0.0001196522,"domain_scores_codex":[0.9989638,0.0001249037,0.0002578012,0.00006768798,0.0004681909,0.0001176335],"domain_scores_gemma":[0.999178,0.0001154973,0.0002148205,0.0001072765,0.0003331952,0.00005122829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001523886,0.0006298462,0.08559338,0.00001837473,0.00001221094,0.000002364446,0.02510005,0.00001606553,0.01750683,0.6513498,0.004762513,0.2148561],"study_design_scores_gemma":[0.002049923,0.0003153813,0.4559864,0.0006207677,0.0000183694,0.00004958326,0.01601871,0.001296818,0.002732216,0.2063129,0.3141798,0.0004190923],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777547,0.0001765457,0.0001205646,0.007445678,0.0001305806,0.00008912715,1.401979e-7,0.00001709224,0.01426563],"genre_scores_gemma":[0.9979443,0.0001158619,0.001444273,0.0001303771,0.00003527604,0.000001915822,0.000001411408,0.000002323574,0.0003242457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4450369,"threshold_uncertainty_score":0.2715416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01610738425703045,"score_gpt":0.3445159041534184,"score_spread":0.328408519896388,"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."}}