{"id":"W53995515","doi":"10.2991/978-94-6239-030-0_14","title":"Procedure Learning via Adaptively Biased Hillclimbing","year":2014,"lang":"en","type":"book-chapter","venue":"Atlantis thinking machines","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pyrogenesis (Canada)","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0014544,0.0008965842,0.0008830207,0.0004717917,0.001178808,0.0008741895,0.002113828,0.0006002834,0.00003499143],"category_scores_gemma":[0.000217269,0.0008301353,0.0004135826,0.00013736,0.0001080912,0.0002991214,0.0007956995,0.002893754,0.0003209047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009286231,"about_ca_system_score_gemma":0.0001093111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003157181,"about_ca_topic_score_gemma":0.00004139089,"domain_scores_codex":[0.9960291,0.000226119,0.00065786,0.001384609,0.0009464582,0.0007558773],"domain_scores_gemma":[0.9975448,0.0004587169,0.0007560186,0.0009003383,0.0001448566,0.0001952164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001739665,0.00003005345,0.002045679,0.0002422969,0.0002664473,0.0002127702,0.004706696,0.003087405,0.00008075207,0.3554644,0.001439431,0.6324067],"study_design_scores_gemma":[0.0005973536,0.0004022964,0.000532402,0.001818763,0.0001367253,0.0004616037,0.00001204023,0.06516387,0.00002423383,0.01446232,0.9143475,0.002040862],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0007330149,0.001985344,0.8881961,0.001215294,0.002386271,0.0005645626,0.000003194249,0.00494058,0.09997568],"genre_scores_gemma":[0.3709477,0.0001724801,0.1025931,0.0009807416,0.001976288,0.00002490707,0.0002194227,0.0004723782,0.522613],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9129081,"threshold_uncertainty_score":0.9994149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456716960459113,"score_gpt":0.227259678682495,"score_spread":0.2126925090779039,"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."}}