{"id":"W3015158888","doi":"10.17504/protocols.io.3ebgjan","title":"Open Vegetation Survey Protocol v1","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Vegetation (pathology); Geography; Plot (graphics); Biodiversity; Forestry; Environmental science; Remote sensing; Ecology; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009744609,0.0009756948,0.001136722,0.002627172,0.002200964,0.00206702,0.002404099,0.001191597,0.3201531],"category_scores_gemma":[0.01233904,0.0009976916,0.0006824447,0.003074272,0.0006144465,0.001397666,0.002787963,0.001600162,0.1298359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00228962,"about_ca_system_score_gemma":0.00724719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03862315,"about_ca_topic_score_gemma":0.09436024,"domain_scores_codex":[0.9958928,0.001426368,0.0005421692,0.0005917924,0.001002742,0.0005442196],"domain_scores_gemma":[0.9876261,0.002366622,0.0004695226,0.003322693,0.005452062,0.0007630024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007603191,0.0002086855,0.002536704,0.0009202748,0.00002863831,0.0001467862,0.0005413175,0.000472477,0.001275942,0.00372469,0.9042125,0.08517158],"study_design_scores_gemma":[0.0003043665,0.00008968768,0.005926643,0.0003917901,0.00001461148,0.00005327255,0.0002915885,0.0004169894,0.0004295324,0.002841005,0.9891951,0.00004535711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.005253684,0.0003779902,0.04494467,0.0009270636,0.0007938138,0.07659236,0.748931,0.009616986,0.1125625],"genre_scores_gemma":[0.01651848,0.000676711,0.08560188,0.002329171,0.0003307493,0.2047452,0.594133,0.004761311,0.09090367],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.3201531,"threshold_uncertainty_score":0.9697191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04644979903182737,"score_gpt":0.3176863509220053,"score_spread":0.2712365518901779,"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."}}