{"id":"W4281477701","doi":"10.32920/ifmj.v2i2.1568","title":"Receipts","year":2022,"lang":"en","type":"article","venue":"Interactive Film and Media Journal","topic":"Public Spaces through Art","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Ontario College of Art and Design; Toronto Metropolitan University","funders":"","keywords":"Equity (law); Process (computing); Space (punctuation); Internet privacy; Public space; Computer science; Computer security; Psychology; Public relations; Social psychology; Sociology; Artificial intelligence; Political science; Law; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.002342906,0.0006995588,0.0006661713,0.002080333,0.003182889,0.006590047,0.002112145,0.002574937,0.6787155],"category_scores_gemma":[0.009972243,0.0004967796,0.0005662455,0.002048067,0.0009420234,0.005543153,0.004904693,0.002154675,0.4573761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002127757,"about_ca_system_score_gemma":0.002951681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003691846,"about_ca_topic_score_gemma":0.005125691,"domain_scores_codex":[0.9975271,0.0004476817,0.0002032135,0.0004421919,0.001021397,0.0003585367],"domain_scores_gemma":[0.9958746,0.0006139709,0.0002421373,0.0008831785,0.001739525,0.0006465127],"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":[0.0001654087,0.00005918213,0.000970771,0.0002801009,0.000008044153,0.0003064037,0.0007512223,0.00005021669,0.0004063672,0.04019395,0.8578313,0.09897699],"study_design_scores_gemma":[0.000005456108,0.00001092321,0.0003204451,0.00006644415,0.00000182959,0.00009336447,0.0002682832,0.00001951602,0.00008443477,0.001216634,0.9979076,0.000005011861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003447747,0.001039967,0.002790077,0.008999126,0.00476958,0.0004442118,0.0123684,0.002033455,0.9641073],"genre_scores_gemma":[0.01657675,0.001126488,0.002639672,0.003553267,0.0008042174,0.0002629651,0.008103834,0.0009357041,0.965997],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6787155,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01988467549408511,"score_gpt":0.3197669527237094,"score_spread":0.2998822772296242,"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."}}