{"id":"W2913989863","doi":"","title":"Invited talk","year":2007,"lang":"en","type":"article","venue":"Innovative Applications of Artificial Intelligence","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Electronic Arts (Canada)","funders":"","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001372746,0.0002016296,0.0002405755,0.0007299018,0.0001531194,0.00002537958,0.0005887307,0.0001064515,0.0001630122],"category_scores_gemma":[0.0003632209,0.000215315,0.0000553958,0.009469036,0.0007426247,0.0002089243,0.000111519,0.0002518008,0.001313657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001033539,"about_ca_system_score_gemma":0.00004343661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000149145,"about_ca_topic_score_gemma":0.0001454096,"domain_scores_codex":[0.9975945,0.00003233197,0.001164746,0.0004152228,0.0004037696,0.0003894004],"domain_scores_gemma":[0.9960803,0.0003612633,0.0005141425,0.0006892186,0.00227245,0.00008262179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007325791,0.0003740601,0.0005397559,0.00001016202,0.00003100492,0.00000167866,0.0004115928,0.00005528287,0.4101849,0.3736516,0.0006104424,0.2140563],"study_design_scores_gemma":[0.00001807814,0.00005516821,0.001419567,0.00001360391,0.00000790975,0.000004074992,0.001405678,0.0002760797,0.903816,0.07600225,0.01676256,0.0002190535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1323968,0.00004655386,0.8618119,0.0005140055,0.00005326887,0.0008186387,0.00008128446,0.0001783726,0.004099154],"genre_scores_gemma":[0.9803907,0.000002456574,0.01878755,0.0004074153,0.0001236299,0.0001589433,0.00005379521,0.00004610422,0.00002946907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8479939,"threshold_uncertainty_score":0.9994639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06261774112337154,"score_gpt":0.3660636084519059,"score_spread":0.3034458673285343,"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."}}