{"id":"W6926083357","doi":"10.20381/ruor-28892","title":"Gambling on Culture in Canada: Gaming as a Source of Funding for Culture, the Arts and Heritage","year":2002,"lang":"en","type":"other","venue":"","topic":"Artificial Intelligence Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lottery; Government (linguistics); License; Revenue; The arts; Statute","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009627997,0.0001396346,0.0001645343,0.0000728943,0.00007382462,0.0000484042,0.0004946407,0.00008563476,0.00004822302],"category_scores_gemma":[0.00003896366,0.0000937538,0.00003003458,0.0002300643,0.00003219357,0.00004301795,0.00008116608,0.0001353854,0.000008735738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008915312,"about_ca_system_score_gemma":0.00009816259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3728423,"about_ca_topic_score_gemma":0.7391372,"domain_scores_codex":[0.9991409,0.00001437545,0.0001831442,0.0002989619,0.0001672394,0.0001954133],"domain_scores_gemma":[0.9993551,0.00008651734,0.0001346244,0.000356076,0.00002667015,0.00004098177],"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":[0.000004615441,0.00007040835,0.000128311,0.0001248487,0.0000502615,0.000006600432,0.007847222,0.0005445814,0.0007432502,0.2516806,0.6793015,0.05949781],"study_design_scores_gemma":[0.0000590733,0.00003612365,0.00002068049,0.0002298714,0.000007961843,0.000005217094,0.001845787,0.0209065,0.001609873,0.001167742,0.9738575,0.0002536833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002364636,0.001341923,0.4849848,0.0008681449,0.0001769102,0.001210247,0.000008261408,0.0001082574,0.511065],"genre_scores_gemma":[0.08744789,0.000255673,0.02844294,0.001423329,0.0002299019,0.0002001977,0.000005675926,0.000147962,0.8818464],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4565419,"threshold_uncertainty_score":0.6313339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06488991998642935,"score_gpt":0.2999435991939676,"score_spread":0.2350536792075382,"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."}}