{"id":"W2016411822","doi":"10.1142/s0219467801000141","title":"COMPUTING LINE INTERSECTIONS","year":2001,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Intersection (aeronautics); Line (geometry); Algorithm; Point (geometry); Computation; Subroutine; Floating point; Computer science; Binary number; Mathematics; Arithmetic; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007691163,0.001518574,0.002202107,0.00357223,0.001530863,0.003219811,0.002834885,0.00140989,0.01682838],"category_scores_gemma":[0.00760552,0.0008302144,0.001251797,0.003142666,0.0009456762,0.005095412,0.003824293,0.001679903,0.00617294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009937576,"about_ca_system_score_gemma":0.001051878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00166055,"about_ca_topic_score_gemma":0.001364755,"domain_scores_codex":[0.9974368,0.0002482671,0.0001604297,0.000567758,0.001328536,0.0002583145],"domain_scores_gemma":[0.9976803,0.000843771,0.0002517418,0.0003397219,0.0007887675,0.00009561858],"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":[0.0005986419,0.0001800957,0.004031241,0.0006324637,0.0001532981,0.0006252393,0.0006386174,0.1686615,0.01969777,0.08589624,0.01082237,0.7080625],"study_design_scores_gemma":[0.0001031342,0.00029381,0.001110183,0.0001056586,0.0000671329,0.0007402744,0.0005738927,0.8146979,0.04716514,0.1018501,0.0331749,0.0001178918],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01608771,0.000173135,0.978337,0.00004818995,0.00005059572,0.00008029748,0.000219432,0.001860351,0.003143316],"genre_scores_gemma":[0.1686904,0.0002963138,0.8245463,0.0000393281,0.00004876765,0.0001850993,0.002044509,0.0006636308,0.003485634],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01682838,"threshold_uncertainty_score":0.05629659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554315464074181,"score_gpt":0.2920000189865417,"score_spread":0.2764568643457999,"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."}}