{"id":"W7043848250","doi":"","title":"Unmanned Aircraft Systems in Civil Engineering Applications","year":2020,"lang":"en","type":"other","venue":"CSUN ScholarWorks (California State University, Northridge)","topic":"X-ray Diffraction in Crystallography","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drone; Point cloud; Motion planning; Point (geometry); Laser scanning; Cloud computing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002657895,0.0004888269,0.0001732639,0.0005246746,0.0003984428,0.001036869,0.0003154399,0.0004540306,0.00806015],"category_scores_gemma":[0.0004197652,0.0001508226,0.000216792,0.001329994,0.0002747872,0.0007670577,0.0006260044,0.0005349366,0.002947425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004457667,"about_ca_system_score_gemma":0.000650011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0103363,"about_ca_topic_score_gemma":0.01354955,"domain_scores_codex":[0.9997675,0.000041644,0.00001142907,0.00003551674,0.0001162082,0.00002777209],"domain_scores_gemma":[0.9998232,0.00003264907,0.0000170388,0.00003473765,0.00007499148,0.00001752567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004113573,0.00006871379,0.006408038,0.0003808688,0.00002602077,0.0004014557,0.0004121369,0.03601257,0.01801603,0.03966472,0.03511461,0.8634537],"study_design_scores_gemma":[0.00001410178,0.0002024692,0.01676467,0.0004871322,0.00003326203,0.0004965278,0.001017339,0.12576,0.01128989,0.0428591,0.8010224,0.00005312302],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1041555,0.04952485,0.4842992,0.007045073,0.00151148,0.0003395332,0.002155257,0.003239728,0.3477293],"genre_scores_gemma":[0.6386502,0.04911537,0.2183071,0.001061611,0.0005348846,0.0001691839,0.002721069,0.0003897318,0.08905079],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0103363,"threshold_uncertainty_score":0.02696389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00763836542461321,"score_gpt":0.1958690132493254,"score_spread":0.1882306478247122,"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."}}