{"id":"W2592583136","doi":"","title":"Mapping Piping Plover habitat in coastal areas using airborne lidar data","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Plover; Lidar; Geography; Habitat; Piping; Remote sensing; Charadrius; Aerial survey; Environmental science; Cartography; Fishery; Environmental resource management; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001796725,0.0002030373,0.0001865174,0.001030068,0.0003212034,0.0003768365,0.0002203987,0.0001376498,0.0006358693],"category_scores_gemma":[0.0004961736,0.0001638277,0.0001509122,0.001095998,0.0001151056,0.0004183294,0.0002702629,0.0001245238,0.0001149007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003541165,"about_ca_system_score_gemma":0.0004646635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08913317,"about_ca_topic_score_gemma":0.2147548,"domain_scores_codex":[0.9999188,0.000009441698,0.000004536056,0.00002504433,0.00002053335,0.00002163441],"domain_scores_gemma":[0.9997671,0.00005340125,0.00004352813,0.00001875628,0.00008017923,0.00003698683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002108389,0.000112889,0.8877297,0.00006279715,0.00005348833,0.0003014227,0.0005523249,0.007717533,0.02289844,0.0001208645,0.0005692164,0.0796705],"study_design_scores_gemma":[0.00001668347,0.00005319911,0.9724822,0.00001049522,0.00003883306,0.00009840317,0.000816847,0.02442256,0.001494805,0.00006694175,0.000488182,0.00001088067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987721,0.00002084141,0.0005018727,0.00001008946,9.040128e-7,0.000006779676,0.0002674012,0.0000244082,0.0003955063],"genre_scores_gemma":[0.9966008,0.00004205133,0.002735198,0.000003851113,0.000001465117,0.000008490701,0.0004008248,0.000003177673,0.000204139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9108669,"threshold_uncertainty_score":0.1772287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03157037447677058,"score_gpt":0.2521531541643845,"score_spread":0.2205827796876139,"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."}}