{"id":"W2784363284","doi":"","title":"Image matching for 3D photogrammetric reconstruction","year":2011,"lang":"en","type":"article","venue":"32nd Asian Conference on Remote Sensing 2011, ACRS 2011","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Photogrammetry; Matching (statistics); Image matching; Image (mathematics); Image processing; Iterative reconstruction","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":[0.0006492219,0.0008038357,0.001010748,0.00259344,0.0006651817,0.001328034,0.001423634,0.001361101,0.0124666],"category_scores_gemma":[0.001989021,0.0009159457,0.00127665,0.003077138,0.0004381722,0.001324843,0.001909733,0.0007614713,0.00677387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005403275,"about_ca_system_score_gemma":0.001160828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005335553,"about_ca_topic_score_gemma":0.004786396,"domain_scores_codex":[0.9987765,0.0001373851,0.00007662515,0.0002591768,0.0006137742,0.0001364606],"domain_scores_gemma":[0.9993464,0.00009385787,0.00004803318,0.0002461193,0.0002448253,0.00002069486],"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":[0.0002307772,0.0001458132,0.001119816,0.0001817765,0.000093854,0.0001220494,0.00009476745,0.02398382,0.0911891,0.007379489,0.007490577,0.8679681],"study_design_scores_gemma":[0.00003907561,0.0001294248,0.00522397,0.00005091746,0.00009713697,0.0006339154,0.0001373749,0.7979625,0.1535727,0.01289766,0.02918801,0.00006731837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009279327,0.0002475934,0.9842504,0.00007734307,0.00008215276,0.0001075752,0.0003484387,0.002942549,0.002664533],"genre_scores_gemma":[0.1702262,0.0004517517,0.8201032,0.0001617628,0.00004751985,0.0001597802,0.001743162,0.0006536467,0.006453077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0124666,"threshold_uncertainty_score":0.04170495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05778180269920612,"score_gpt":0.236378055530788,"score_spread":0.1785962528315818,"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."}}