{"id":"W4281571266","doi":"10.46391/alceu.v22.ed46.2022.279","title":"McLuhan in Reverse","year":2022,"lang":"en","type":"article","venue":"Alceu","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Convention; Association (psychology); Transcription (linguistics); Ecology; Computer science; Biology; Political science; Linguistics; Philosophy; Law; Epistemology","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":[0.0009178074,0.0006685472,0.000460359,0.001507079,0.004504681,0.004465732,0.001322366,0.001400588,0.2955252],"category_scores_gemma":[0.006106249,0.0003764469,0.0005000731,0.001172545,0.001733091,0.003926294,0.003376736,0.003005947,0.2018551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00203716,"about_ca_system_score_gemma":0.00238103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01642977,"about_ca_topic_score_gemma":0.03456601,"domain_scores_codex":[0.9985142,0.0003882563,0.0000849002,0.0003871761,0.0004340273,0.000191432],"domain_scores_gemma":[0.998171,0.0003325456,0.00007785277,0.0004924197,0.0007935017,0.0001326811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001263504,0.00001854611,0.0002634308,0.0001424843,0.000009673106,0.0001582179,0.002745836,0.00007716844,0.0007979724,0.2558066,0.6452402,0.09461346],"study_design_scores_gemma":[0.000005001847,0.000003666108,0.00009549707,0.00003020636,0.000002186619,0.00006633771,0.0003159193,0.00004461785,0.0003915835,0.006490048,0.9925477,0.000007341238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001399759,0.0007361211,0.0105907,0.006962748,0.004724549,0.00007804306,0.001902101,0.001568736,0.9720373],"genre_scores_gemma":[0.0318023,0.0005430048,0.009121761,0.002534396,0.0006364376,0.0001274141,0.00142401,0.002114804,0.9516959],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2955252,"threshold_uncertainty_score":0.9886302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097484512555425,"score_gpt":0.2258317002805069,"score_spread":0.2148568551549527,"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."}}