{"id":"W7073677477","doi":"","title":"Accuracy and efficiency evaluation of point-centered quarter method variations for vegetation sampling in an araucaria forest","year":2010,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Araucaria; Sampling (signal processing); Quarter (Canadian coin); Vegetation (pathology); Point (geometry); Diversity index; Vegetation Index; Species diversity","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":[0.007454069,0.0002897152,0.0003906273,0.001468643,0.0003010115,0.0004772604,0.001070041,0.0004678145,0.000486934],"category_scores_gemma":[0.01730148,0.0002975091,0.0003417504,0.001068272,0.0004445719,0.0004477505,0.0007513998,0.0002210905,0.0002691361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005720793,"about_ca_system_score_gemma":0.0004987866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01037419,"about_ca_topic_score_gemma":0.01895032,"domain_scores_codex":[0.9925703,0.003550273,0.0004051781,0.001312764,0.002019515,0.0001419271],"domain_scores_gemma":[0.9911619,0.003734712,0.000958164,0.001560847,0.002444952,0.0001393984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000819524,0.0001540027,0.5311157,0.0003337522,0.0002043547,0.00006805333,0.001608255,0.01218885,0.03491489,0.0007122688,0.0007722783,0.4171081],"study_design_scores_gemma":[0.00008678449,0.001106538,0.769179,0.0001144994,0.000130286,0.000650775,0.0008631705,0.2016147,0.02120451,0.0009677038,0.003957352,0.0001245858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8358007,0.0007346773,0.1599357,0.0000609095,0.00002964305,0.000310065,0.0005842039,0.0005149372,0.002029206],"genre_scores_gemma":[0.8517995,0.0002090541,0.1466034,0.00002484077,0.000007825975,0.0002191767,0.0004689935,0.00003539468,0.0006318209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01037419,"threshold_uncertainty_score":0.03942132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03072545951900182,"score_gpt":0.2969850415734016,"score_spread":0.2662595820543998,"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."}}