{"id":"W4394146737","doi":"10.6084/m9.figshare.3516533","title":"Appendix E. Comparison of assignments by fuzzy (fuzzy c-means) and hierarchical (Ward’s method) clustering of individual migratory and tundra-wintering barren-ground, Dolphin and Union island, and boreal caribou to subpopulations in the Northwest Territories, Nunavut, and northern Alberta, Canada.","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tundra; Boreal; Fuzzy logic; Taiga; Hierarchical clustering; Geography; Cluster analysis; Ecology; Environmental science; Arctic; Biology; Computer science; Artificial intelligence","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":[0.002376184,0.001631421,0.001287493,0.004779493,0.001317728,0.002357425,0.002799573,0.001624692,0.08091997],"category_scores_gemma":[0.01643654,0.0007912035,0.001257149,0.00809949,0.0005534358,0.0007688074,0.001605397,0.001438194,0.0402787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005821726,"about_ca_system_score_gemma":0.01006748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4609778,"about_ca_topic_score_gemma":0.6442786,"domain_scores_codex":[0.9985198,0.0001853061,0.000218918,0.0003790497,0.0004668584,0.0002300557],"domain_scores_gemma":[0.9887242,0.003239571,0.0007082546,0.0013846,0.005274839,0.0006685121],"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":[0.00005857677,0.0000224946,0.00389063,0.0007475931,0.00004741697,0.00001855188,0.00004262042,0.0004736551,0.00005927081,0.0002675608,0.9922125,0.002159164],"study_design_scores_gemma":[0.0008726421,0.00002652465,0.05119062,0.00151527,0.0001208724,0.00008494429,0.0004858231,0.001058267,0.0003596305,0.001479281,0.9427359,0.00007031687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000960972,0.00001788852,0.00003059477,0.00001944147,0.000008207516,0.00001252697,0.9995962,0.00005013975,0.0001688738],"genre_scores_gemma":[0.000655968,0.00003399524,0.0004241025,0.00002586414,0.000004731099,0.0001932536,0.9979494,0.00003504154,0.0006776609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5390222,"threshold_uncertainty_score":0.9165891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03322511126127956,"score_gpt":0.3343540025573673,"score_spread":0.3011288912960877,"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."}}