{"id":"W26118266","doi":"10.3138/cjfs.20.2.19","title":"Making Sense of Early Video Arcades: The Case of Pittsburgh, 1980-1983","year":2011,"lang":"fr","type":"article","venue":"Canadian Journal of Film Studies","topic":"Digital Games and Media","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":[0.0009932726,0.000167268,0.000517181,0.0001849358,0.0002028738,0.00003342544,0.0002918201,0.00009379229,0.0001329977],"category_scores_gemma":[0.001028583,0.000122756,0.0002784024,0.0004167703,0.002582479,0.0002974258,0.00003647961,0.0002775613,0.000004763315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000144613,"about_ca_system_score_gemma":0.001298258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05320218,"about_ca_topic_score_gemma":0.2290868,"domain_scores_codex":[0.9983074,0.0001750599,0.0006713705,0.0001164083,0.0002396061,0.0004901278],"domain_scores_gemma":[0.9975741,0.0003451909,0.0007620128,0.0001687557,0.0006853112,0.0004646117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005084319,0.00006380091,0.009089838,0.0002093942,0.001269885,0.01467812,0.7159731,0.00001830342,0.00001209393,0.05670749,0.01735641,0.1845707],"study_design_scores_gemma":[0.000726642,0.001372586,0.01959113,0.002856105,0.0008058717,0.003574118,0.5505617,0.000006518695,0.0001649039,0.017703,0.40216,0.0004773322],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8511286,0.09415495,0.0000140484,0.00346542,0.003661336,0.0001692912,0.00007899604,0.000002723573,0.04732462],"genre_scores_gemma":[0.9934551,0.001949101,0.00012124,0.0002145468,0.0003649725,0.00000119115,7.475087e-8,0.00001292482,0.003880841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3848037,"threshold_uncertainty_score":0.9531026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1333705413551524,"score_gpt":0.3294824579471055,"score_spread":0.196111916591953,"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."}}