{"id":"W2157335918","doi":"10.1109/im.1999.805332","title":"Digital 3D imaging system for rapid response on remote sites","year":2003,"lang":"en","type":"article","venue":"","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; National Research Council Canada","funders":"Centre National de la Recherche Scientifique","keywords":"Computer science; Remote sensing; Calibration; Data acquisition; Digital imaging; Quality (philosophy); Computer vision; Digital image; Image processing; Geography; Image (mathematics)","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":[0.001093851,0.0004172054,0.000699001,0.001538913,0.0003711688,0.0005938021,0.0008732662,0.0008468198,0.01580035],"category_scores_gemma":[0.001427136,0.000441057,0.0004006993,0.0008587349,0.0003767562,0.0007727238,0.001377838,0.0007770242,0.005052495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003761383,"about_ca_system_score_gemma":0.0005400808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005173062,"about_ca_topic_score_gemma":0.0008108643,"domain_scores_codex":[0.9987651,0.0001933569,0.00004845268,0.000185645,0.0007377221,0.00006977877],"domain_scores_gemma":[0.9989797,0.0002293374,0.00006738213,0.0003310421,0.0003268675,0.00006557156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003290539,0.00010663,0.002306733,0.000457275,0.00004113459,0.0003125307,0.0003145459,0.004458886,0.5390945,0.005089214,0.01836448,0.429125],"study_design_scores_gemma":[0.0004728939,0.001845163,0.03607608,0.0002372571,0.0002335727,0.006385828,0.0002572387,0.1134904,0.467105,0.004481501,0.3690009,0.0004141382],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03066439,0.000890045,0.9424812,0.0002818606,0.0003305207,0.0005479372,0.001128799,0.01086318,0.01281209],"genre_scores_gemma":[0.2137022,0.0005460646,0.7652804,0.000456769,0.0001607454,0.0007286643,0.001757543,0.0005180425,0.01684963],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01580035,"threshold_uncertainty_score":0.05285746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163302996349718,"score_gpt":0.2159766449909505,"score_spread":0.1943436150274533,"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."}}