{"id":"W434254472","doi":"10.2991/978-94-6239-030-0_23","title":"Integrative Procedure Learning","year":2014,"lang":"en","type":"book-chapter","venue":"Atlantis thinking machines","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pyrogenesis (Canada)","funders":"","keywords":"Computer science; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006752614,0.0006666502,0.0006493597,0.0002677002,0.0006052458,0.0005039767,0.001615186,0.0004535737,0.00005800758],"category_scores_gemma":[0.0001107168,0.000531675,0.0002323616,0.00008605582,0.00007309095,0.000221562,0.0005042439,0.001713087,0.0003254914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005026812,"about_ca_system_score_gemma":0.0001296532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001275317,"about_ca_topic_score_gemma":0.00004142656,"domain_scores_codex":[0.9975897,0.00009465458,0.0004356391,0.0008861173,0.0005663959,0.0004274743],"domain_scores_gemma":[0.9982476,0.0004141047,0.0004482416,0.000625472,0.0001508627,0.0001137522],"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":[0.000008342057,0.000007072734,0.001684836,0.0001508817,0.0001448528,0.0001221274,0.003956587,0.001024846,0.00002347951,0.9355343,0.01781622,0.03952644],"study_design_scores_gemma":[0.000452737,0.0004147354,0.0002261135,0.004066181,0.0001202665,0.0003739542,0.00001487371,0.1020589,0.00008482031,0.2310549,0.6589473,0.002185167],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001339957,0.002080358,0.3343408,0.00109637,0.00138875,0.0002978243,0.000006932014,0.001526202,0.6591288],"genre_scores_gemma":[0.03920846,0.0001992875,0.03076991,0.001011052,0.0009374121,0.00001139837,0.0002266353,0.0001517648,0.9274841],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7044794,"threshold_uncertainty_score":0.9997135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009041457760418307,"score_gpt":0.2229257827136813,"score_spread":0.213884324953263,"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."}}