{"id":"W2288073247","doi":"10.1007/978-3-642-28076-4_16","title":"On the Hardness of Point-Set Embeddability","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Set (abstract data type); Point (geometry); Algorithm; Programming language; Mathematics; Geometry","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":[],"consensus_categories":[],"category_scores_codex":[0.001774083,0.0003294116,0.0003474943,0.0004453289,0.0002067761,0.0001844641,0.002357339,0.000171805,0.00007574874],"category_scores_gemma":[0.0002362461,0.0002326268,0.0001355879,0.0006322645,0.0005303309,0.0004264136,0.0007644818,0.0005097486,0.00004938865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001469917,"about_ca_system_score_gemma":0.0003737662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007777665,"about_ca_topic_score_gemma":0.00001241197,"domain_scores_codex":[0.9972452,0.00007245877,0.000457891,0.0008268732,0.001007783,0.0003897852],"domain_scores_gemma":[0.9967562,0.001214811,0.0002957459,0.001317969,0.0003097296,0.0001055273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009336968,0.00006089969,0.00003494191,0.00003700869,0.00001260724,0.00000543547,0.0009386478,0.06081147,0.0001643225,0.4160629,0.0001482274,0.5217142],"study_design_scores_gemma":[0.0001765205,0.0001982452,0.0005614926,0.000198275,0.000008633688,0.00002965069,2.251636e-7,0.3236779,0.005527099,0.6674497,0.001689347,0.0004829792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007449199,0.0002756283,0.9930614,0.001388762,0.001980162,0.0003364593,0.000008108325,0.00005073308,0.00215382],"genre_scores_gemma":[0.9038414,0.00001801491,0.0933368,0.001941743,0.0004988461,0.00001160088,0.000009217708,0.00001925758,0.0003231194],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9030965,"threshold_uncertainty_score":0.9486247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612102366593928,"score_gpt":0.2599388095595426,"score_spread":0.2338177858936034,"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."}}