{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008084854,0.00005398239,0.00008775629,0.00009324869,0.001041487,0.0001173924,0.0001798859,0.0000199419,0.00650439],"category_scores_gemma":[0.0008038131,0.00005130631,0.00003996764,0.0001443633,0.0001213945,0.0004655746,0.0001001195,0.0004934839,0.00002209186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001904767,"about_ca_system_score_gemma":0.0002395055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001512833,"about_ca_topic_score_gemma":0.0003267555,"domain_scores_codex":[0.9988468,0.0003261397,0.0001094233,0.00009881056,0.0003933226,0.0002255387],"domain_scores_gemma":[0.9992387,0.0003253267,0.0001043513,0.0000487192,0.00007838898,0.0002045528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002335327,0.0002029017,0.01264309,0.000002432554,0.0001208268,0.0002469894,0.444698,0.00001179506,0.000521861,0.01716873,0.4222449,0.1019049],"study_design_scores_gemma":[0.0002291789,0.00005228806,0.002615737,0.000005670798,0.000005727718,0.0001330154,0.06702083,0.00001359829,0.00003119793,0.002957493,0.9268673,0.00006792617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7169158,0.0005485923,0.0001110422,0.02169861,0.008378651,0.0001338154,0.00002301384,0.0000462612,0.2521442],"genre_scores_gemma":[0.9951324,0.0002537971,0.0001604189,0.0007631586,0.0008351216,0.00001129626,0.000001815491,0.000006315837,0.002835705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5046224,"threshold_uncertainty_score":0.9944038,"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."}}