{"id":"W2279312602","doi":"10.5194/isprsarchives-xl-1-w4-143-2015","title":"DEVELOPMENT OF THE BRICAN TD100 SMALL UAS AND PAYLOAD TRIALS","year":2015,"lang":"en","type":"article","venue":"˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Payload (computing); Photography; Remote sensing; Aerial photography; Drone; Environmental science; Aeronautics; Computer science; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003147674,0.0003571856,0.0004868879,0.0006380797,0.0008610985,0.0003978543,0.001156464,0.0000777577,0.000003444472],"category_scores_gemma":[0.001421741,0.0002044961,0.0002945365,0.0008291771,0.002077793,0.0003480619,0.0006652526,0.0003657009,0.000001168756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005523665,"about_ca_system_score_gemma":0.0002489101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2835347,"about_ca_topic_score_gemma":0.09896014,"domain_scores_codex":[0.9956837,0.0003803734,0.001659853,0.0002749003,0.001614014,0.0003872156],"domain_scores_gemma":[0.9967405,0.0009802188,0.001425154,0.0003822719,0.000310938,0.000160877],"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":[0.0001071778,0.00001041218,0.000177166,0.00004040155,0.00008959875,7.652995e-8,0.004753476,0.006750444,0.005997142,0.00000558356,0.00002233994,0.9820462],"study_design_scores_gemma":[0.0007573238,0.00006934231,0.002598575,0.0002614479,0.0000424299,0.00005912073,0.002391121,0.9475423,0.03568702,0.00366681,0.006688451,0.0002360624],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03036288,0.0000600198,0.9590588,0.001126366,0.002112147,0.000606539,0.00004544019,0.0000487557,0.006579054],"genre_scores_gemma":[0.9815367,0.0001116603,0.01779735,0.0003626994,0.0001100494,4.648469e-7,0.00001100689,0.00001090717,0.00005918523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9818101,"threshold_uncertainty_score":0.9174815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.061078675664352,"score_gpt":0.2916530251821987,"score_spread":0.2305743495178467,"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."}}