{"id":"W3206333044","doi":"10.3390/rs13204025","title":"Status and Trends of Wetland Studies in Canada Using Remote Sensing Technology with a Focus on Wetland Classification: A Bibliographic Analysis","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wetland; Remote sensing; Computer science; Environmental science; Environmental resource management; Geography; Ecology","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0134734,0.0006745485,0.002685576,0.06422509,0.002032512,0.004921696,0.001875804,0.0008656943,0.002611707],"category_scores_gemma":[0.05344357,0.0006421798,0.002854601,0.1144111,0.001868335,0.001851585,0.001718206,0.001067349,0.0002490648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.032952,"about_ca_system_score_gemma":0.11549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.846655,"about_ca_topic_score_gemma":0.9384193,"domain_scores_codex":[0.9902326,0.001053415,0.003366029,0.001109399,0.003596749,0.000641838],"domain_scores_gemma":[0.8728443,0.05282731,0.01779103,0.002092613,0.05208192,0.002362754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005796014,0.00004507492,0.1248545,0.4299419,0.008150983,0.0007411148,0.005119448,0.0006591275,0.001662102,0.003232353,0.03285709,0.3921567],"study_design_scores_gemma":[0.00009131672,0.0001349481,0.4505297,0.3352979,0.02836805,0.0009027055,0.005378688,0.0005297191,0.001098981,0.0009944421,0.1764609,0.0002125801],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01457075,0.967038,0.0003876316,0.002434129,0.0002580261,0.0001199602,0.01196759,0.00004281398,0.003181105],"genre_scores_gemma":[0.08299227,0.9056575,0.002348341,0.001297913,0.0001824401,0.0001976436,0.006538368,0.00003520549,0.0007503227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9357749,"threshold_uncertainty_score":0.3084962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02763487914377543,"score_gpt":0.2659578445298762,"score_spread":0.2383229653861008,"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."}}