{"id":"W3208334944","doi":"10.1109/airpharo52252.2021.9571064","title":"Preliminary design of an aerial cliff sampling system","year":2021,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cliff; Sampling (signal processing); Ecosystem; Flora (microbiology); Computer science; Remote sensing; Environmental science; Environmental resource management; Geography; Ecology; Geology; Telecommunications; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003382931,0.0005893172,0.0003489196,0.0004250637,0.0005427398,0.0006322647,0.001059193,0.0005961807,0.004546386],"category_scores_gemma":[0.0004354759,0.0002674688,0.0002246619,0.0001689545,0.0002193824,0.0004457289,0.0008836599,0.0003311675,0.001379988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003891981,"about_ca_system_score_gemma":0.0009125519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003781335,"about_ca_topic_score_gemma":0.003024552,"domain_scores_codex":[0.9995554,0.00004530074,0.00002738907,0.0001246129,0.000170235,0.00007696302],"domain_scores_gemma":[0.9996297,0.00003288371,0.00003783716,0.00004958502,0.0001708038,0.00007915673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009176535,0.0003272525,0.02123238,0.000743007,0.00008591818,0.002957454,0.001272297,0.02630432,0.612516,0.005177706,0.008356378,0.3201096],"study_design_scores_gemma":[0.0003930863,0.006350944,0.0616053,0.0002612226,0.0002569014,0.003555354,0.002084927,0.496076,0.2726511,0.002711676,0.1537913,0.000262104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2502526,0.0003352105,0.7164337,0.0005821612,0.0002987344,0.002516562,0.0008065575,0.005611737,0.02316273],"genre_scores_gemma":[0.7556969,0.0001535046,0.2313804,0.0002292221,0.0000430237,0.0008881186,0.0006582714,0.00009546026,0.01085504],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004546386,"threshold_uncertainty_score":0.01520914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03159247038120634,"score_gpt":0.2572987489329497,"score_spread":0.2257062785517434,"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."}}