{"id":"W941090075","doi":"10.1609/socs.v6i1.18356","title":"The Spurious Path Problem in Abstraction","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Combinatorial Search","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spurious relationship; Abstraction; Computer science; Path (computing); Heuristic; State (computer science); Semaphore; Algorithm; Artificial intelligence; Programming language; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001042473,0.0001104215,0.0001088637,0.00005233608,0.0002504796,0.0003817898,0.001623229,0.00006888642,0.000005613643],"category_scores_gemma":[0.000167828,0.00007557579,0.00007962986,0.0003981427,0.00004783475,0.0002827974,0.0004565358,0.0004372664,0.00001222395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001872669,"about_ca_system_score_gemma":0.0001417711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001322403,"about_ca_topic_score_gemma":0.000005676563,"domain_scores_codex":[0.9981921,0.00002745791,0.0003044509,0.0002996735,0.000927597,0.0002487297],"domain_scores_gemma":[0.9987562,0.0003118506,0.000154734,0.0001662927,0.0005663285,0.00004458994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001189212,0.0002973662,0.01299288,0.00004081322,0.00004884481,0.000008207521,0.0009896695,0.0006652612,0.04313082,0.9343005,0.003052312,0.004354409],"study_design_scores_gemma":[0.003603284,0.0006138901,0.02227871,0.001167883,0.00001815279,0.0001252883,0.0004468534,0.03248541,0.5772693,0.3000366,0.06121606,0.0007385751],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8304629,0.0001580817,0.0002546282,0.07159729,0.01141037,0.0006307676,0.000008228554,0.0001400269,0.08533772],"genre_scores_gemma":[0.9983911,0.00003912704,0.0006181739,0.0001027268,0.0002129446,0.00002046064,0.000001366116,0.000008876187,0.0006052406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6342639,"threshold_uncertainty_score":0.3681608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108065674391502,"score_gpt":0.2446828402938578,"score_spread":0.2338762728547076,"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."}}