{"id":"W4283123614","doi":"","title":"Shape Reconstruction in 2D: From Theory to Practice","year":2022,"lang":"en","type":"preprint","venue":"INRIA a CCSD electronic archive server","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Computer science","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":[0.006579248,0.001417866,0.002265562,0.002620556,0.0009302992,0.007299764,0.004810147,0.004069546,0.01015681],"category_scores_gemma":[0.02367798,0.002507924,0.001643922,0.003823781,0.006239671,0.008302423,0.006239979,0.003832045,0.004063318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616483,"about_ca_system_score_gemma":0.001685872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003701252,"about_ca_topic_score_gemma":0.002883876,"domain_scores_codex":[0.9943514,0.002179587,0.0003019491,0.0007726329,0.002262227,0.0001322152],"domain_scores_gemma":[0.9813137,0.01283246,0.0003084989,0.00365909,0.001578785,0.0003074392],"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":[0.0001460268,0.0001030792,0.001479142,0.001597487,0.000123864,0.0001680772,0.0006556286,0.1753677,0.003260001,0.2236563,0.0071715,0.5862712],"study_design_scores_gemma":[0.00004122576,0.00005914476,0.0003720161,0.0005754581,0.00002569829,0.0002979207,0.0002172438,0.5978554,0.004220014,0.3696722,0.02660117,0.00006253423],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001426517,0.003785528,0.9906071,0.0006432348,0.00006781572,0.00003988407,0.00006727488,0.0005456368,0.002816933],"genre_scores_gemma":[0.07814125,0.00852541,0.9101645,0.0003780619,0.0002706524,0.0001474198,0.0002830384,0.0006744124,0.001415297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01015681,"threshold_uncertainty_score":0.03479481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305467852307696,"score_gpt":0.2396611778151375,"score_spread":0.2266064992920605,"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."}}