{"id":"W7055043240","doi":"","title":"Assessing Remote Sensing Approaches to Map Invasive Phragmites australis at Multiple Spatial Scales","year":2019,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phragmites; Invasive species; Wetland; Habitat; Introduced species; Native plant; Thematic Mapper; Spatial distribution","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00220472,0.0007389312,0.0002407654,0.002505769,0.0003176644,0.001104514,0.000564889,0.0004378091,0.0005562315],"category_scores_gemma":[0.003852255,0.0003304774,0.0005683164,0.001379795,0.0002242587,0.001193452,0.000649224,0.0003828811,0.0001877278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008452809,"about_ca_system_score_gemma":0.0006638799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03800602,"about_ca_topic_score_gemma":0.08054756,"domain_scores_codex":[0.9990553,0.0002399245,0.00004905037,0.0002671454,0.000300934,0.00008761293],"domain_scores_gemma":[0.9978021,0.0007952682,0.0004546228,0.0001172355,0.0007308632,0.00009992284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002308172,0.0006071482,0.6749483,0.0003570305,0.0004738259,0.0001303765,0.001432344,0.08673068,0.01695951,0.001067439,0.001458015,0.2156046],"study_design_scores_gemma":[0.0000482941,0.0005252177,0.6320186,0.000104931,0.0002087596,0.0001412851,0.003093509,0.3551556,0.00512517,0.0008527222,0.00265035,0.00007568051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729441,0.0003106892,0.01981199,0.0001914603,0.00002025334,0.0002103853,0.001445352,0.0002046959,0.004861126],"genre_scores_gemma":[0.9155024,0.0002686157,0.08198216,0.00004383166,0.0000157046,0.0002110396,0.001302229,0.00001829664,0.0006557532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03800602,"threshold_uncertainty_score":0.07556957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05039208750728515,"score_gpt":0.2452162449652597,"score_spread":0.1948241574579746,"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."}}