{"id":"W6958571994","doi":"10.6084/m9.figshare.27948462","title":"Colorado lynx SDM dataset","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Habitat; Range (aeronautics); Replicate; Carnivore; Distribution (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0009153891,0.001150037,0.0008961273,0.001810976,0.0009909869,0.001302675,0.002407534,0.001581629,0.03594254],"category_scores_gemma":[0.004195848,0.0004197677,0.0008016168,0.002702563,0.0003375291,0.0006827904,0.001122211,0.001322799,0.03976358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148839,"about_ca_system_score_gemma":0.001976102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08637796,"about_ca_topic_score_gemma":0.1630419,"domain_scores_codex":[0.9993514,0.0001280209,0.000050291,0.0002604994,0.000132107,0.00007762466],"domain_scores_gemma":[0.998823,0.0003048616,0.0001005304,0.0002321192,0.0004296819,0.0001097768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007076025,0.00004199837,0.004518277,0.0002483844,0.00005492969,0.00004687246,0.00003059987,0.001051774,0.00009113609,0.0005349045,0.9895374,0.003773065],"study_design_scores_gemma":[0.0002769001,0.00003319303,0.01473192,0.0002917205,0.00005729048,0.00009507409,0.0001485796,0.003588045,0.000376134,0.001356106,0.9790051,0.00004005394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001114251,0.0001368443,0.0001549026,0.00009743263,0.00002744816,0.00001385359,0.9971534,0.0003222615,0.0009796754],"genre_scores_gemma":[0.001564548,0.00004469256,0.0004606071,0.00004911144,0.000007478206,0.00008555938,0.9968643,0.00005421231,0.0008694886],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08637796,"threshold_uncertainty_score":0.1717504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138715009421667,"score_gpt":0.2771663748957285,"score_spread":0.2657792248015119,"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."}}