{"id":"W4311843901","doi":"10.1139/dsa-2022-0037","title":"Microdrones in field-based structural geology: a photogrammetry and fracture quantification case study from the North Mountain Basalt, Nova Scotia, Canada","year":2022,"lang":"en","type":"article","venue":"Drone Systems and Applications","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Photogrammetry; Nova scotia; Geology; Software deployment; Basalt; Drone; Resource (disambiguation); Terrain; Outcrop; Remote sensing; Earth science; Geography; Geomorphology; Seismology; Cartography; Computer science; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0002822103,0.000343167,0.000231648,0.00161931,0.002068888,0.0008962529,0.0007967167,0.0004530483,0.001264928],"category_scores_gemma":[0.0006981632,0.0002606003,0.0002116643,0.002603209,0.001029281,0.0002169863,0.0006390796,0.0004194983,0.0002318871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008495375,"about_ca_system_score_gemma":0.01126666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9769331,"about_ca_topic_score_gemma":0.9962649,"domain_scores_codex":[0.999512,0.00002575254,0.00001565978,0.00008232256,0.0002402009,0.0001241076],"domain_scores_gemma":[0.9995115,0.00005979053,0.00004848699,0.00003560124,0.0002627734,0.00008189765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002723269,0.000404283,0.829178,0.0003870527,0.0001027002,0.01367355,0.01318138,0.01637597,0.01753517,0.001582502,0.006067962,0.1012392],"study_design_scores_gemma":[0.00001681348,0.00007830522,0.9606023,0.0001268365,0.00003098507,0.000932669,0.01635217,0.007562962,0.001803233,0.0001784824,0.01227176,0.00004340543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853638,0.0003444763,0.001707876,0.0002433445,0.00001682643,0.0002242398,0.002540671,0.00005149048,0.009507206],"genre_scores_gemma":[0.9898785,0.0003377633,0.004313046,0.00007423312,0.000005940527,0.00004941466,0.001050703,0.00002053966,0.004269964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02306688,"threshold_uncertainty_score":0.06163853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064170596733807,"score_gpt":0.2399768442858483,"score_spread":0.2293351383185102,"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."}}