{"id":"W3090415789","doi":"10.1155/2020/3743267","title":"Investigation of the Effect of Magnification, Accelerating Voltage, and Working Distance on the 3D Digital Reconstruction Techniques","year":2020,"lang":"en","type":"article","venue":"Scanning","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Magnification; Computer science; Computer graphics (images); Voltage; Computer vision; Materials science; Electrical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002240342,0.00005096272,0.000066432,0.00000743045,0.0001368114,0.00004432096,0.00007835613,0.00001960417,0.00001980177],"category_scores_gemma":[0.0001632104,0.00002600849,0.00001796175,0.0001603306,0.0001013891,0.0001374035,0.000006077171,0.00008160235,0.00000110545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000140178,"about_ca_system_score_gemma":0.000006026778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003160895,"about_ca_topic_score_gemma":0.00002083245,"domain_scores_codex":[0.9995698,0.00006930176,0.0001191097,0.0000904839,0.0000952325,0.00005611319],"domain_scores_gemma":[0.9996204,0.0001684061,0.0001130484,0.00006201135,0.00001670054,0.00001938332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009890628,1.580544e-7,0.8502008,0.00002540188,0.000001833476,5.82769e-8,0.0004325708,0.00005172133,0.001128796,0.00002540912,0.00002142928,0.148102],"study_design_scores_gemma":[0.00007612346,0.0001836672,0.9365727,0.0003680791,0.000008879222,0.000003241562,0.0005297111,0.004866844,0.05692904,0.0001934467,0.0001769508,0.00009128941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959805,0.0001382891,0.0001147682,0.0002549396,0.00004184879,0.0001094536,0.000008147481,0.00001689737,0.003335144],"genre_scores_gemma":[0.9997354,0.000007686012,0.0001531005,0.000045327,0.00003316709,9.519427e-7,0.000005635982,0.000001333771,0.00001736559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1480107,"threshold_uncertainty_score":0.1060595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03227973945265592,"score_gpt":0.2042184012671439,"score_spread":0.171938661814488,"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."}}