{"id":"W7132919007","doi":"","title":"Generalization in Planning","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Generalization; Leverage (statistics); Automated planning and scheduling; Action (physics); Automation; State (computer science)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004259478,0.001397254,0.0009667857,0.001737566,0.002197087,0.004510961,0.002251181,0.002228971,0.01250853],"category_scores_gemma":[0.009063508,0.0009165176,0.003095503,0.001963552,0.009290752,0.009138871,0.004544336,0.00444446,0.001939615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004220968,"about_ca_system_score_gemma":0.003421551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01075836,"about_ca_topic_score_gemma":0.009068632,"domain_scores_codex":[0.9961513,0.001343986,0.0003801866,0.001078098,0.0007681661,0.0002781774],"domain_scores_gemma":[0.9957712,0.002600972,0.000251917,0.0008517854,0.0003963947,0.0001277145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000020244,0.00001117758,0.0001870238,0.0001807044,0.00002421206,0.00009746625,0.0003563893,0.01573195,0.0001967253,0.951355,0.002291751,0.02954734],"study_design_scores_gemma":[0.00001102144,0.00001727077,0.00007441762,0.00008477647,0.00001711142,0.00007790188,0.00007587286,0.01613267,0.0003186988,0.9566017,0.02657047,0.00001806387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003622531,0.003199778,0.9128134,0.003294933,0.0003356534,0.0002527333,0.0003913845,0.0008666773,0.0752229],"genre_scores_gemma":[0.2659477,0.007076099,0.6950797,0.001963133,0.0006527751,0.0009904887,0.001474597,0.0004554228,0.02636008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01250853,"threshold_uncertainty_score":0.04184526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03239516550572556,"score_gpt":0.3563130111429674,"score_spread":0.3239178456372419,"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."}}