{"id":"W653675975","doi":"","title":"Proceedings of the third IASTED International Conference on Computational Intelligence, July 2-4, 2007, Banff, Alberta, Canada","year":2007,"lang":"en","type":"book","venue":"ACTA Press eBooks","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Political science; Library science; Regional science; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002971756,0.0003695582,0.0003328267,0.000132601,0.0001550998,0.0001826512,0.00271982,0.0002550429,0.00003043165],"category_scores_gemma":[0.00006366173,0.0002993793,0.0001096846,0.00004205458,0.0001431524,0.0001263106,0.0004697418,0.00080292,0.000007231887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002225166,"about_ca_system_score_gemma":0.001931327,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04611491,"about_ca_topic_score_gemma":0.01242084,"domain_scores_codex":[0.9973935,0.00002520398,0.0005729217,0.0005550205,0.001106865,0.0003464778],"domain_scores_gemma":[0.9976834,0.0005403475,0.0006759831,0.0003641871,0.0006205397,0.0001155096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004756409,0.00003074116,0.00003279322,0.000138112,0.0002019913,0.0000124181,0.001593246,0.001492376,0.00001810346,0.4977541,0.4933257,0.0053529],"study_design_scores_gemma":[0.0003607738,0.0001465555,0.0001536323,0.002251735,0.00005870268,0.00005401947,0.00003265393,0.06004732,0.002095588,0.02223679,0.9116001,0.0009621682],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004741098,0.00003021784,0.004818759,0.0002952097,0.001321916,0.0003464359,0.00006234222,0.00005294371,0.9930248],"genre_scores_gemma":[0.06487516,0.00000691811,0.003442134,0.001231235,0.0002815826,0.00002252613,0.0000628999,0.00003971442,0.9300379],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4755173,"threshold_uncertainty_score":0.9999458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03120148998792396,"score_gpt":0.2422033544966099,"score_spread":0.2110018645086859,"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."}}