{"id":"W4399660423","doi":"10.32920/26042752","title":"It All Started at Seneca Towers: Video, Guerilla Television and Portable Channel","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Brock University","funders":"","keywords":"Ephemera; Channel (broadcasting); Computer graphics (images); Computer science; Telecommunications; Visual arts; Art","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":[0.0002409037,0.0003778934,0.0001636931,0.001378462,0.002465956,0.005111068,0.000347979,0.0008057922,0.05636857],"category_scores_gemma":[0.0009888917,0.0001894519,0.0001742218,0.003140085,0.002009474,0.002790713,0.00128649,0.001029717,0.004280852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002833851,"about_ca_system_score_gemma":0.001723217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0955096,"about_ca_topic_score_gemma":0.1591552,"domain_scores_codex":[0.9996798,0.00008391214,0.00000794279,0.00005328391,0.00008982667,0.00008514558],"domain_scores_gemma":[0.9996333,0.00006708723,0.0000458161,0.00003889412,0.0001068267,0.0001081806],"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":[0.0002323316,0.00008470674,0.008722375,0.0004157338,0.00002349047,0.0007975753,0.01788959,0.0001946768,0.002210807,0.1600946,0.4283087,0.3810254],"study_design_scores_gemma":[0.000009949826,0.00005906352,0.03038295,0.0003762071,0.000014857,0.0003518577,0.01879069,0.0001190144,0.001387324,0.006210514,0.9422694,0.0000281434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09008763,0.009589815,0.001621046,0.01925263,0.001119094,0.00006314702,0.001410426,0.0001990847,0.8766571],"genre_scores_gemma":[0.3836152,0.01278678,0.002386422,0.001565922,0.0006027859,0.0000735641,0.000929225,0.0002594472,0.5977806],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0955096,"threshold_uncertainty_score":0.1899073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03396220394416559,"score_gpt":0.3140129941020579,"score_spread":0.2800507901578922,"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."}}