{"id":"W4246822229","doi":"10.1109/cwit.2011.5872102","title":"Foreword","year":2011,"lang":"en","type":"article","venue":"","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kelowna General Hospital","funders":"","keywords":"Library science; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001804791,0.00008328454,0.0000883945,0.00004612946,0.00004414891,0.00003075324,0.0009739109,0.00003325892,0.0003295373],"category_scores_gemma":[0.00002008059,0.000066276,0.00005139605,0.0002358817,0.00003293124,0.000284495,0.0004757847,0.00006405349,0.0003672183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001829583,"about_ca_system_score_gemma":0.00002499616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000829676,"about_ca_topic_score_gemma":0.00002152493,"domain_scores_codex":[0.999183,0.00002539008,0.0001291478,0.0003004551,0.0001424477,0.0002195435],"domain_scores_gemma":[0.9991449,0.00003997037,0.00002394642,0.0006588834,0.00005039416,0.00008189491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001935727,0.0001488444,0.004187408,0.000004643528,0.000008264368,0.00001826473,0.001168864,0.000003930812,0.00003043535,0.6984168,0.0023216,0.293689],"study_design_scores_gemma":[0.000431884,0.0003500655,0.1287517,0.00000569594,0.000004874531,0.0000664686,0.000045047,0.320857,0.005932603,0.5312865,0.01168146,0.0005866355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00689615,0.00001731414,0.8988962,0.0002087775,0.0003940634,0.00008089473,2.986799e-7,0.0004220936,0.09308428],"genre_scores_gemma":[0.5178772,7.106418e-7,0.4807296,0.0003515604,0.00003658978,0.000005237508,1.335482e-7,0.000003292395,0.000995664],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5109811,"threshold_uncertainty_score":0.4719971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0593501793766994,"score_gpt":0.213149559573098,"score_spread":0.1537993801963986,"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."}}