{"id":"W2087322605","doi":"10.1145/945191.945198","title":"Computer Reconstruction","year":2001,"lang":"en","type":"article","venue":"","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","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":[0.000505867,0.0008506764,0.0004852617,0.001817452,0.0007411085,0.004056273,0.0009678353,0.001161476,0.05954497],"category_scores_gemma":[0.002140587,0.0005045415,0.0007533277,0.001560582,0.0005779177,0.002020482,0.002037785,0.0007771101,0.0175728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005076329,"about_ca_system_score_gemma":0.0006427572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003536802,"about_ca_topic_score_gemma":0.003294764,"domain_scores_codex":[0.9993887,0.0001012572,0.00003859488,0.0002003427,0.0002195253,0.00005151569],"domain_scores_gemma":[0.9994343,0.0001605371,0.00002747039,0.0001979187,0.0001477031,0.00003199883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004758069,0.00009261329,0.003651826,0.000431912,0.0000936898,0.0007931212,0.0006771011,0.0230696,0.01377923,0.05165697,0.1291753,0.7761028],"study_design_scores_gemma":[0.00005611968,0.00008591974,0.003108229,0.0001539146,0.00004942678,0.001499028,0.0006805062,0.102199,0.01741564,0.02620449,0.8484826,0.00006511611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02512238,0.003045984,0.7373329,0.002013612,0.001065115,0.0003681261,0.006529835,0.02303407,0.2014879],"genre_scores_gemma":[0.4033156,0.004602477,0.3943067,0.001000349,0.0002643259,0.0003886833,0.01985034,0.004495917,0.1717755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05954497,"threshold_uncertainty_score":0.1991978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02102713777699059,"score_gpt":0.1942452159664204,"score_spread":0.1732180781894299,"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."}}