{"id":"W2943176854","doi":"","title":"Automated Digital Geological Mapping Based on 3D Photogrammetry","year":2018,"lang":"en","type":"article","venue":"ISRM International Symposium - 10th Asian Rock Mechanics Symposium","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Photogrammetry; Remote sensing; Geology; 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":[0.0002558793,0.0008421066,0.0005831125,0.004168338,0.0004476722,0.001350181,0.0007901486,0.0006093747,0.005639518],"category_scores_gemma":[0.000862049,0.0005463575,0.0006282889,0.003010389,0.000397585,0.001019997,0.001354951,0.0004904103,0.004601921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000358705,"about_ca_system_score_gemma":0.001116301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005553131,"about_ca_topic_score_gemma":0.008942201,"domain_scores_codex":[0.9993358,0.00007223553,0.00003007944,0.0001293399,0.0003678344,0.00006464995],"domain_scores_gemma":[0.9995037,0.00006110605,0.00005136924,0.0001585656,0.0001986416,0.00002664513],"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":[0.0000936752,0.0001110849,0.005560668,0.000247646,0.00004908966,0.0001931281,0.0001739826,0.02474559,0.06856828,0.00261084,0.01286725,0.8847787],"study_design_scores_gemma":[0.00007239312,0.0001740452,0.06060694,0.0001999481,0.0001361431,0.0007403884,0.0007221814,0.7662305,0.08005485,0.01004764,0.08086607,0.0001489303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08644895,0.000503415,0.8781896,0.000293622,0.0002870504,0.0003841851,0.004481368,0.01202811,0.01738363],"genre_scores_gemma":[0.439882,0.0008030222,0.5424898,0.0001585163,0.00007305832,0.0003406153,0.007141577,0.0004399622,0.008671528],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005639518,"threshold_uncertainty_score":0.01886606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236095656081281,"score_gpt":0.2206852226341543,"score_spread":0.2083242660733415,"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."}}