{"id":"W4312296953","doi":"10.1609/aiide.v10i1.12703","title":"Invited Talks","year":2014,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Electronic Arts (Canada)","funders":"","keywords":"Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003498739,0.001322825,0.001002519,0.002186996,0.003820816,0.007169452,0.001794818,0.004229882,0.5247477],"category_scores_gemma":[0.01160666,0.0004052387,0.001010021,0.001525785,0.0006329849,0.003467636,0.004926228,0.005185286,0.4139569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002272224,"about_ca_system_score_gemma":0.002577221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001421195,"about_ca_topic_score_gemma":0.003247792,"domain_scores_codex":[0.9973949,0.0004384893,0.0001151471,0.0004847972,0.00111207,0.0004546129],"domain_scores_gemma":[0.9912115,0.0009269682,0.0002317056,0.0004147896,0.003123839,0.004091238],"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":[0.00005714836,0.00001609265,0.00004080043,0.00006088966,0.000002657578,0.00004389739,0.0000566599,0.00002229435,0.0001677523,0.001573178,0.9863153,0.01164328],"study_design_scores_gemma":[0.000008876138,0.00001243134,0.0001224269,0.00005097212,0.000002645149,0.00003471779,0.000140791,0.00002556119,0.00007398527,0.0008561069,0.9986657,0.000005837095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.001412334,0.01071449,0.003372866,0.09722011,0.4590794,0.0005503005,0.00659705,0.001744836,0.4193085],"genre_scores_gemma":[0.005104684,0.002802904,0.0009493528,0.01358302,0.04857403,0.0002917479,0.002885916,0.0007874196,0.9250211],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4752523,"threshold_uncertainty_score":0.6778898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05907862739753957,"score_gpt":0.2388801284912019,"score_spread":0.1798015010936623,"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."}}