{"id":"W2366974291","doi":"","title":"The Method and Research of Medical Reconstruction Based on Marching Cubes Algorithm","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Isosurface; Marching cubes; Computer science; Interpolation (computer graphics); Algorithm; Enhanced Data Rates for GSM Evolution; Fast marching method; Midpoint; Ambiguity; Selection (genetic algorithm); Image (mathematics); Artificial intelligence; Mathematics; Visualization; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006556589,0.0006072116,0.0008788661,0.001519524,0.0004780081,0.001224281,0.001597491,0.0008297536,0.002274758],"category_scores_gemma":[0.002029792,0.000425226,0.00116274,0.00233973,0.0008490705,0.001816113,0.0009172929,0.001301723,0.0008388543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006708081,"about_ca_system_score_gemma":0.00121724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002974071,"about_ca_topic_score_gemma":0.001160293,"domain_scores_codex":[0.9990435,0.0001813158,0.00005339386,0.0001185871,0.0005647502,0.00003848967],"domain_scores_gemma":[0.9994938,0.0001874033,0.00003147008,0.00007275806,0.0001902804,0.0000241919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000110098,0.00003556052,0.000917642,0.0007263079,0.0001288125,0.0004388917,0.000332626,0.1573434,0.02357305,0.2228578,0.00842266,0.5851132],"study_design_scores_gemma":[0.00003830043,0.00006761282,0.0004202163,0.00006481527,0.00004417805,0.00117367,0.0000604656,0.8627335,0.01767368,0.05571913,0.06190985,0.00009445751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001043346,0.0008140382,0.995878,0.0001998092,0.00007865767,0.00003480352,0.00003453965,0.00023121,0.001685497],"genre_scores_gemma":[0.06212196,0.003932117,0.9294891,0.0001516852,0.00022413,0.0002130824,0.0002129365,0.0001518432,0.003503142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002974071,"threshold_uncertainty_score":0.007609785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581115270616834,"score_gpt":0.3267017659797099,"score_spread":0.3108906132735416,"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."}}