{"id":"W4296079032","doi":"10.29173/mocs276","title":"Unmanned aerial vehicles usage on south african construction projects: perceived benefits","year":2022,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asset (computer security); Construction industry; Project management; Data collection; Construction management; Quality (philosophy); Construction engineering; Transport engineering; Engineering; Computer science; Systems engineering; Civil engineering; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001412718,0.000309197,0.0002822966,0.0003098549,0.0006559701,0.0001359333,0.000128534,0.0001104091,0.00006719042],"category_scores_gemma":[0.00004273207,0.0003450417,0.00006911463,0.0003091442,0.0001886382,0.0002920628,0.00007912512,0.0003885672,0.000005465275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001780586,"about_ca_system_score_gemma":0.00001945508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001230315,"about_ca_topic_score_gemma":0.000002570521,"domain_scores_codex":[0.9985049,0.00001843281,0.0003179813,0.0004851502,0.0003162086,0.0003572633],"domain_scores_gemma":[0.9995009,0.00002140938,0.000125089,0.0001305321,0.0001032429,0.0001188459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005728683,0.0000904651,0.007395434,0.0003422888,0.0001929974,0.00001175054,0.004381305,0.8754395,0.008091437,0.01763465,0.0004972899,0.08535007],"study_design_scores_gemma":[0.01614046,0.003162768,0.04134013,0.0005787954,0.0009391832,0.001113631,0.08386992,0.7005658,0.06780389,0.01242517,0.06451139,0.007548924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989229,0.0001228918,0.006335732,0.00006666863,0.001024657,0.0004314565,0.00009632763,0.0006700424,0.002023263],"genre_scores_gemma":[0.9894334,0.0001041255,0.00987889,0.00004172561,0.0002472554,0.00008429299,0.00005994595,0.00005660877,0.00009374652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1748737,"threshold_uncertainty_score":0.9999002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170830942737495,"score_gpt":0.1870430771672962,"score_spread":0.1753347677399213,"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."}}