{"id":"W7007898819","doi":"","title":"Advances in artifical intelligence","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001558527,0.0005199039,0.0009670058,0.001922096,0.0008897061,0.004052992,0.001126769,0.001418881,0.1396583],"category_scores_gemma":[0.004787484,0.0004449974,0.0005855086,0.002316666,0.001185709,0.003797029,0.001431881,0.002928075,0.05112572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082933,"about_ca_system_score_gemma":0.001474045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001602905,"about_ca_topic_score_gemma":0.002599851,"domain_scores_codex":[0.9990858,0.0001122535,0.00005923316,0.0001385073,0.0005514595,0.00005282545],"domain_scores_gemma":[0.9969239,0.000810637,0.00008232645,0.0008295779,0.001138685,0.0002148772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005537846,0.00006709151,0.0001725193,0.0006183858,0.00002650254,0.00005947931,0.00006470176,0.0004196818,0.000639694,0.1257405,0.5915563,0.2805798],"study_design_scores_gemma":[0.00000972053,0.00001370545,0.000239482,0.0002009922,0.00001442234,0.00008468793,0.00002289833,0.0006874694,0.0003709583,0.0404175,0.9579322,0.000005949731],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.0021394,0.09247313,0.03037318,0.02530219,0.04245044,0.0001054793,0.002069552,0.001182957,0.8039037],"genre_scores_gemma":[0.02720243,0.04854534,0.02848134,0.002748622,0.007062042,0.0001017436,0.002567405,0.000666665,0.8826245],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1396583,"threshold_uncertainty_score":0.4672037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02993088916141213,"score_gpt":0.2516094842425572,"score_spread":0.2216785950811451,"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."}}