{"id":"W2790696652","doi":"10.1007/s11258-018-0819-1","title":"Investigating detection success: lessons from trials using decoy rare plants","year":2018,"lang":"en","type":"article","venue":"Plant Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Environment and Protected Areas; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Biodiversity Monitoring Institute; University of Alberta; Alberta Conservation Association","keywords":"Abundance (ecology); Decoy; Ecology; Biology; Biodiversity; Relative species abundance; Understory; Plant ecology; Rare species; Habitat","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04162202,0.002058261,0.005021803,0.0005743516,0.001680917,0.001460302,0.00361553,0.005504795,0.002930688],"category_scores_gemma":[0.1282771,0.0008631648,0.001142998,0.0007431057,0.00447393,0.004623262,0.002534324,0.004187184,0.001200877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101911,"about_ca_system_score_gemma":0.001390004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002482355,"about_ca_topic_score_gemma":0.004255728,"domain_scores_codex":[0.968887,0.02068355,0.002840219,0.003057273,0.003776562,0.0007553492],"domain_scores_gemma":[0.8405448,0.1238905,0.008146513,0.01646063,0.00809146,0.002866163],"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":[0.1573334,0.06251995,0.1081312,0.007460536,0.006397863,0.001634299,0.01149779,0.02114994,0.2094589,0.01116797,0.01205578,0.3911923],"study_design_scores_gemma":[0.02095622,0.5820666,0.1484681,0.001551863,0.005496168,0.00315333,0.002934246,0.05303245,0.1074366,0.04318157,0.03064766,0.00107522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428722,0.002464289,0.04409915,0.001354144,0.000726744,0.002730621,0.0006490832,0.0002245708,0.004879107],"genre_scores_gemma":[0.9522006,0.0009552451,0.03666723,0.001360334,0.0004103743,0.004096269,0.0006208129,0.0003419316,0.003347214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04162202,"threshold_uncertainty_score":0.220121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0676542179036519,"score_gpt":0.315881428266968,"score_spread":0.2482272103633161,"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."}}