{"id":"W6931695438","doi":"10.5683/sp3/3zmb8z","title":"Using a Conservation Biology Blueprint to Protect Seven Species found in the Frontenac Arch Biosphere Reserve, Canada, 2014","year":2015,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Blueprint; Endangered species; Biosphere; National park; Conservation biology; Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007432958,0.0003180723,0.0001684838,0.003767811,0.003576951,0.001894997,0.001015743,0.000319879,0.004060999],"category_scores_gemma":[0.001408003,0.0002075334,0.0002272149,0.003437859,0.0007381204,0.0005952379,0.001292163,0.0005225729,0.0005521764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02114249,"about_ca_system_score_gemma":0.05492766,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9785011,"about_ca_topic_score_gemma":0.9956312,"domain_scores_codex":[0.9993312,0.0000477563,0.00001926132,0.00006297487,0.0003600415,0.0001787083],"domain_scores_gemma":[0.9980945,0.00007619724,0.0001059669,0.00006788137,0.00134826,0.0003070482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001121281,0.0001649379,0.2994812,0.0006367703,0.00006208214,0.0008777688,0.01460129,0.002679584,0.01074425,0.006974438,0.121393,0.5422726],"study_design_scores_gemma":[0.00001448488,0.00005038103,0.7009433,0.000371424,0.00003292556,0.0003135692,0.0230523,0.002385988,0.002074196,0.0008722426,0.2698263,0.00006284454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6654965,0.005667522,0.02583056,0.01435591,0.0004654339,0.003592203,0.04377344,0.001252155,0.2395664],"genre_scores_gemma":[0.7353513,0.003837283,0.1100117,0.00158875,0.00004026257,0.0009976918,0.02306232,0.0002024777,0.1249083],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02149886,"threshold_uncertainty_score":0.1534002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.12683539433524,"score_gpt":0.3351107284325186,"score_spread":0.2082753340972786,"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."}}