{"id":"W6921372151","doi":"10.6084/m9.figshare.c.6442394","title":"Supplementary material from \"Mapping nationally- and globally-at-risk species to identify hotspots for (and gaps in) conservation\"","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Threatened species; Taxon; Habitat; Range (aeronautics); Ecoregion; Protected area; Taxonomic rank; Taxonomy (biology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001124373,0.0009145605,0.0008291652,0.003228364,0.002193362,0.003216805,0.002123732,0.001302488,0.696318],"category_scores_gemma":[0.01531246,0.000615696,0.0009384289,0.006460257,0.0005228624,0.001991821,0.002236493,0.0009109622,0.1893207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003444531,"about_ca_system_score_gemma":0.007729365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.339249,"about_ca_topic_score_gemma":0.526493,"domain_scores_codex":[0.9990784,0.00009221564,0.00007004479,0.0001819898,0.0004079663,0.0001694004],"domain_scores_gemma":[0.9931114,0.002325959,0.0002912196,0.000614322,0.003164395,0.0004927806],"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":[0.00003440281,0.00001292131,0.001095854,0.0005775144,0.00001783459,0.00003835883,0.00009673861,0.0001732997,0.0001128382,0.0007153727,0.9896041,0.007520828],"study_design_scores_gemma":[0.0001261315,0.00001212021,0.01175082,0.0006498267,0.00003492383,0.0001168106,0.0003060689,0.0004759937,0.0002646806,0.002570908,0.9836485,0.00004311564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003818045,0.000104382,0.0009713963,0.0004542701,0.0003462225,0.0000706104,0.979834,0.001108288,0.01672904],"genre_scores_gemma":[0.008015907,0.0004871478,0.007854683,0.001144784,0.0001556716,0.0003572293,0.9442442,0.00185036,0.03588996],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.696318,"threshold_uncertainty_score":0.6745487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05068730761547621,"score_gpt":0.30688530220573,"score_spread":0.2561979945902538,"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."}}