{"id":"W2090572845","doi":"10.1139/x07-074","title":"Unrestricted guided transect sampling for surveying sparse species","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transect; Covariate; Sampling (signal processing); Statistics; Mathematics; Basal area; Standard error; Forestry; Geography; Ecology; Environmental science; Computer science; Biology","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":[0.003297178,0.0006523072,0.0007469961,0.001126977,0.0003249085,0.000429302,0.001292641,0.0004959425,0.00236368],"category_scores_gemma":[0.01060826,0.0005431352,0.0008233022,0.001539371,0.0006146503,0.0005672238,0.00128784,0.0005990227,0.0006794614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003357087,"about_ca_system_score_gemma":0.0007991578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003960938,"about_ca_topic_score_gemma":0.01033404,"domain_scores_codex":[0.9951959,0.003206836,0.000142235,0.0007741421,0.0005800844,0.0001007029],"domain_scores_gemma":[0.9904027,0.004473084,0.0007909144,0.003390365,0.0007432579,0.000199713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00151991,0.0003687067,0.05736553,0.0005951939,0.0007047942,0.0003547162,0.001217017,0.100964,0.05974563,0.01119493,0.002731581,0.763238],"study_design_scores_gemma":[0.0003716598,0.002534421,0.09982412,0.00009758591,0.0003970497,0.001553857,0.0002785944,0.8202198,0.0335422,0.01869277,0.02225683,0.0002311521],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03201269,0.00005188561,0.9666315,0.00001678888,0.00001686354,0.00016908,0.0001831428,0.0004486446,0.0004693659],"genre_scores_gemma":[0.1586041,0.00006629381,0.8389897,0.00004613503,0.00002089701,0.0005760737,0.0007157124,0.00009855533,0.0008825803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003960938,"threshold_uncertainty_score":0.01743734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2776090372006001,"score_gpt":0.3390809746179979,"score_spread":0.06147193741739776,"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."}}