{"id":"W4386468656","doi":"10.1139/dsa-2023-0021","title":"Fundamental practices for drone remote sensing research across disciplines","year":2023,"lang":"en","type":"article","venue":"Drone Systems and Applications","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drone; Situated; Context (archaeology); Photogrammetry; Remote sensing; Data science; Data collection; Computer science; Discipline; Geography; Sociology; Archaeology; Artificial intelligence","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001170411,0.0001198557,0.0001494745,0.00005057566,0.001450754,0.0002126153,0.0001463176,0.00007519987,0.000008101329],"category_scores_gemma":[0.00005630646,0.0001107371,0.00003792977,0.0007548518,0.0003099583,0.000126462,0.0002135522,0.0001417156,0.0005529922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008622481,"about_ca_system_score_gemma":0.00001295546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002887442,"about_ca_topic_score_gemma":0.0003888043,"domain_scores_codex":[0.998436,0.000064305,0.0002608236,0.000498078,0.0003024947,0.0004382988],"domain_scores_gemma":[0.9988801,0.0003292051,0.0001761366,0.0004454822,0.00003884128,0.0001302598],"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":[0.00004953654,0.0001974507,0.001895743,0.0003684406,0.00008184501,0.000004891697,0.005619436,0.002628347,0.159444,0.007580531,0.04274479,0.7793849],"study_design_scores_gemma":[0.0003480669,0.00004770493,0.005616211,0.00003600975,0.00001988427,0.00004379905,0.007551389,0.1140835,0.0004113514,0.003193922,0.8683678,0.0002803284],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.882596,0.0002825008,0.09155334,0.006084244,0.0002159715,0.004714699,0.0002159005,0.0005197559,0.01381757],"genre_scores_gemma":[0.9844498,0.00006199504,0.003838089,0.00002266909,0.000364251,0.00007187738,0.0001069195,0.0000328331,0.01105157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.825623,"threshold_uncertainty_score":0.9998492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09932571805209191,"score_gpt":0.4201605749392915,"score_spread":0.3208348568871996,"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."}}