{"id":"W6893206818","doi":"10.5281/zenodo.14708617","title":"Topography-based metrics for climate-change microrefugia: topodiversity, glaciers, wetlands, cool slopes in British Columbia (Version 2.1)","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodiversity; Biodiversity; Habitat; Abiotic component; Natural (archaeology); Range (aeronautics); Diversity (politics); Critical habitat; Species diversity; Altitude (triangle)","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":[0.001073344,0.001362572,0.0008978144,0.008335463,0.001257539,0.003402082,0.001965164,0.0007187575,0.09334619],"category_scores_gemma":[0.008327009,0.0006837431,0.00081019,0.02391391,0.0004209103,0.001685422,0.001982496,0.001508491,0.02310984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006275558,"about_ca_system_score_gemma":0.01526012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9310858,"about_ca_topic_score_gemma":0.9474374,"domain_scores_codex":[0.9990646,0.00005462728,0.0001133892,0.0000989613,0.000514228,0.0001541701],"domain_scores_gemma":[0.9940712,0.0004716171,0.0004180775,0.0002993587,0.004225041,0.0005146341],"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":[0.00005615335,0.00001929105,0.02631002,0.0008648848,0.00004667314,0.00005965227,0.0002513045,0.0007808801,0.0001592591,0.0006126706,0.9255424,0.0452968],"study_design_scores_gemma":[0.00006699981,0.00002081778,0.3412357,0.001885425,0.00007738507,0.0001723668,0.001025144,0.001604039,0.0002121776,0.001029219,0.652542,0.0001287311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006914729,0.003065035,0.001051609,0.0008460481,0.0004577177,0.0001934599,0.9681668,0.001274835,0.01802975],"genre_scores_gemma":[0.04668779,0.004240268,0.008518069,0.0002451164,0.000140251,0.00080081,0.9082398,0.001443439,0.02968445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09334619,"threshold_uncertainty_score":0.3122741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04303826553286799,"score_gpt":0.2896953287222308,"score_spread":0.2466570631893628,"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."}}