{"id":"W3164586659","doi":"10.1093/oso/9780198862536.003.0020","title":"Automated Common-sense Spatial Reasoning: Still a Huge Challenge","year":2021,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Horizon 2020 Framework Programme; Canadian Institute for Advanced Research; Harvard University","keywords":"Commonsense reasoning; Commonsense knowledge; Computer science; Spatial intelligence; Artificial intelligence; Space (punctuation); Common sense; Cognitive science; Epistemology; Knowledge representation and reasoning; Psychology; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001110696,0.0004698241,0.0006427198,0.0001870606,0.0002169949,0.0001581302,0.001312196,0.0005449436,0.00002332011],"category_scores_gemma":[0.00001689586,0.0005278076,0.0002723183,0.00001672724,0.0001903881,0.0001740873,0.001660341,0.0005195083,0.000003826004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001398338,"about_ca_system_score_gemma":0.0001942475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000322959,"about_ca_topic_score_gemma":0.0002800099,"domain_scores_codex":[0.9979848,0.0000813132,0.0002425948,0.000830908,0.0004211464,0.0004392282],"domain_scores_gemma":[0.9979057,0.0001424713,0.0002971319,0.00129049,0.0001818724,0.0001822976],"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":[0.00003426383,0.00002332102,0.000003866051,0.00006056686,0.0001658198,0.003359743,0.0005361994,0.000007851164,0.000005470867,0.9820613,0.001610138,0.01213143],"study_design_scores_gemma":[0.0005918462,0.0001091873,0.0000486967,0.0002768021,0.0001000643,0.00007610846,0.00004039118,0.009723407,0.00008679199,0.0008428465,0.9875046,0.0005992533],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000185749,0.0003018611,0.007846356,0.0001023909,0.0005329207,0.0002860863,0.00004075144,0.001584352,0.9891195],"genre_scores_gemma":[0.01041373,0.0005195353,0.00510089,0.0001176915,0.0001322826,0.000001057544,0.00004040274,0.00004813848,0.9836262],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9858944,"threshold_uncertainty_score":0.9997174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02883308727195784,"score_gpt":0.2220466687303025,"score_spread":0.1932135814583446,"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."}}