{"id":"W7017169873","doi":"","title":"Accuracy Verification and Enhancement in 3D Modeling: Application to Donatello's Maddelena","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Università degli Studi di Firenze","keywords":"Metric (unit); Photogrammetry; Set (abstract data type); Focus (optics); Sensor fusion; Data acquisition; 3D modeling; Software","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001634558,0.0005749873,0.0005234503,0.001740327,0.0008486394,0.001942443,0.001097188,0.0008895725,0.001504741],"category_scores_gemma":[0.004364129,0.0003846285,0.0004379579,0.001256101,0.001151738,0.0005193267,0.00164873,0.0005106246,0.0003509122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004228,"about_ca_system_score_gemma":0.0009438836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02101564,"about_ca_topic_score_gemma":0.02840014,"domain_scores_codex":[0.9986786,0.0002039942,0.00005340099,0.0002559996,0.0007097285,0.00009811795],"domain_scores_gemma":[0.9979387,0.0008233366,0.0001696301,0.0005514896,0.000455214,0.00006167776],"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":[0.0005894203,0.0001866933,0.05572345,0.0005788175,0.00009302737,0.002341688,0.004718561,0.2164657,0.1592723,0.01352586,0.002896374,0.5436081],"study_design_scores_gemma":[0.00005152835,0.0002999378,0.06239101,0.0001450695,0.0001052484,0.002187798,0.001726208,0.7145366,0.168064,0.004625355,0.04567831,0.0001890366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5994946,0.001006187,0.3734439,0.0007594748,0.0001467844,0.0001930687,0.0006138004,0.004354726,0.01998742],"genre_scores_gemma":[0.8817556,0.0002023776,0.1154215,0.00003361426,0.00001349335,0.00002486645,0.000263813,0.0002095712,0.002075383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02101564,"threshold_uncertainty_score":0.04178661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00875553390340768,"score_gpt":0.2684446487956538,"score_spread":0.2596891148922461,"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."}}