{"id":"W4406381127","doi":"","title":"Outline and Shape Reconstruction in 2D","year":2022,"lang":"en","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Computer science; Computer graphics (images)","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":[0.0004029599,0.0006908192,0.0004213252,0.0008072229,0.0004304613,0.002072322,0.001014572,0.001144695,0.0269949],"category_scores_gemma":[0.001402718,0.0006481725,0.0006720223,0.0006466496,0.0005265192,0.001160065,0.001611974,0.0009819055,0.01434949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002371998,"about_ca_system_score_gemma":0.0005179496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001004877,"about_ca_topic_score_gemma":0.001245156,"domain_scores_codex":[0.9995328,0.00004809468,0.00001720299,0.0001082633,0.0002580476,0.00003559317],"domain_scores_gemma":[0.9995878,0.0001045551,0.00001731467,0.0001532085,0.0001023421,0.00003480447],"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":[0.0002853976,0.00008142547,0.00121978,0.0002788116,0.00002367712,0.000689083,0.000501145,0.06709947,0.09349986,0.04742584,0.02639115,0.7625044],"study_design_scores_gemma":[0.0000423698,0.0001629322,0.001845949,0.00008500789,0.0000199799,0.002126602,0.0002219136,0.6757221,0.08934472,0.02524,0.2051148,0.00007369326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006271649,0.0001761318,0.9769775,0.0001945703,0.0001908503,0.00008167312,0.0002794399,0.002560396,0.0132678],"genre_scores_gemma":[0.1036261,0.0006516475,0.8364284,0.0002019638,0.0001429665,0.0001045744,0.001584916,0.002126535,0.05513295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0269949,"threshold_uncertainty_score":0.09030688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007800040819129953,"score_gpt":0.1911893396710221,"score_spread":0.1833892988518921,"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."}}