{"id":"W3151433605","doi":"10.36001/phmconf.2010.v2i1.1958","title":"Diagnosis as Planning Revisited: An Abridged Report","year":2010,"lang":"en","type":"article","venue":"Annual Conference of the PHM Society","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.001069402,0.0001787111,0.0002335864,0.00002261814,0.0003582826,0.0001868079,0.001636708,0.0001492016,0.00004540254],"category_scores_gemma":[0.0002652592,0.0001353805,0.0002200619,0.0002988727,0.0001451146,0.0007036092,0.0003996682,0.0006148605,0.00001365715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001277094,"about_ca_system_score_gemma":0.0002621469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002528224,"about_ca_topic_score_gemma":0.000005279737,"domain_scores_codex":[0.9984041,0.0001006587,0.0003405525,0.0004313655,0.0004028695,0.000320394],"domain_scores_gemma":[0.9977643,0.00022007,0.0003383471,0.001143291,0.0004037327,0.0001302986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004551723,0.0006943159,0.4388095,0.000341533,0.000589967,0.0003164945,0.2285673,0.0009646688,0.02747742,0.08033932,0.1458906,0.07596333],"study_design_scores_gemma":[0.003484585,0.001864845,0.3528169,0.003406558,0.0005526629,0.002741944,0.01570123,0.1608621,0.155227,0.079509,0.2180713,0.005761861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715946,0.0001180523,0.02034904,0.003407171,0.0007307486,0.0002173342,0.00003353317,0.0002277525,0.003321787],"genre_scores_gemma":[0.9833173,0.00001337935,0.0152992,0.0006424777,0.0001145014,0.00001542221,0.00001186801,0.00001072572,0.000575177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2128661,"threshold_uncertainty_score":0.5520657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805773818416695,"score_gpt":0.2882608180578948,"score_spread":0.2602030798737278,"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."}}