{"id":"W2955648753","doi":"","title":"American Roulette (Russian Roulette with a Twist)","year":2019,"lang":"en","type":"article","venue":"MacEwan University Student Research Proceedings","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Roulette; Twist; Mathematics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008123802,0.0002026684,0.0004753745,0.000671408,0.0003596072,0.0001383911,0.0006522497,0.00005552653,0.0002538236],"category_scores_gemma":[0.00004697446,0.0002090939,0.0000889009,0.001216328,0.0003902413,0.000324715,0.0004931543,0.0005560514,0.001176657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004365817,"about_ca_system_score_gemma":0.00004018833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009328714,"about_ca_topic_score_gemma":0.0001820247,"domain_scores_codex":[0.997964,0.00001484593,0.0002104796,0.0007125639,0.0003028846,0.0007952199],"domain_scores_gemma":[0.9991482,0.00005833958,0.0001757722,0.0002319832,0.0001641627,0.0002215741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001466353,0.0001372514,0.8613641,0.00007150692,0.0001670721,0.00004743609,0.004379638,0.000001665719,0.0001003151,0.121974,0.0113107,0.0002996989],"study_design_scores_gemma":[0.001549047,0.000744904,0.40276,0.00005163287,0.00001107554,0.000006499099,0.01731254,0.00003965812,0.00005661835,0.0004104306,0.5766754,0.0003822331],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7736272,0.00009749467,0.00002429409,0.007979865,0.00006855685,0.0005691558,0.00001994352,0.00006716973,0.2175463],"genre_scores_gemma":[0.9673061,0.0002038459,0.0002739681,0.0002449626,0.0001087273,0.000007046888,0.000003885578,0.00002644892,0.03182504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5653646,"threshold_uncertainty_score":0.9996011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05632791416455579,"score_gpt":0.2885818133340253,"score_spread":0.2322538991694695,"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."}}