{"id":"W2254531347","doi":"10.3390/rs8020095","title":"Using an Unmanned Aerial Vehicle-Based Digital Imaging System to Derive a 3D Point Cloud for Landslide Scarp Recognition","year":2016,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Fault scarp; Landslide; Geology; Point cloud; Remote sensing; Computer science; Artificial intelligence; Geomorphology; Seismology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000247737,0.0001816597,0.0001947947,0.00005609408,0.0002434925,0.0001398915,0.0000825623,0.00008510811,0.00001650718],"category_scores_gemma":[0.00006498399,0.0001275616,0.00009366003,0.0001409061,0.00005747038,0.000346604,0.00007005921,0.00006191235,0.0001089738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004516761,"about_ca_system_score_gemma":0.00002435457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000188842,"about_ca_topic_score_gemma":0.00002353745,"domain_scores_codex":[0.9986411,0.00005443706,0.0002582941,0.0004125926,0.0002099925,0.0004235955],"domain_scores_gemma":[0.9993691,0.00007355499,0.0001035045,0.0002242732,0.00003217519,0.000197418],"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":[0.0004477923,0.00002367484,0.0002969255,0.00003112145,0.00002198712,0.0000690658,0.0004453316,0.003319034,0.2293961,0.000002141886,0.000133959,0.7658129],"study_design_scores_gemma":[0.003299093,0.0002146816,0.0001972908,0.001381977,0.0001059806,0.000251692,0.0004910899,0.9513614,0.03898225,0.0002639287,0.002698875,0.0007517045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7874268,0.000005184759,0.2107524,0.0002346055,0.000431163,0.0003375779,0.000031004,0.0001181007,0.0006631034],"genre_scores_gemma":[0.96381,7.988043e-7,0.03547422,0.0001687574,0.0004530082,8.664547e-8,0.00001855854,0.00004271622,0.0000318552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9480424,"threshold_uncertainty_score":0.5201812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874046005053305,"score_gpt":0.2381289065336462,"score_spread":0.2193884464831131,"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."}}