{"id":"W6977211430","doi":"10.6084/m9.figshare.19640043.v1","title":"Taxonomic diversity within the boreal caribou distribution","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Evasion and Academic Success Factors","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boreal; Diversity (politics); Diversity index; Distribution (mathematics); Taxonomic rank; Species diversity","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002879669,0.00015341,0.0001595541,0.00003027215,0.002760948,0.0001028479,0.001416284,0.0003110805,0.7696387],"category_scores_gemma":[0.001807268,0.000121598,0.0001223752,0.0002207863,0.00004929265,0.0001191071,0.001345411,0.0009497273,0.0007137246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000416402,"about_ca_system_score_gemma":0.0003991452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01520606,"about_ca_topic_score_gemma":0.006376452,"domain_scores_codex":[0.9983999,0.0003178568,0.0001620822,0.0002714244,0.0005905366,0.0002582617],"domain_scores_gemma":[0.9989965,0.0002721305,0.0002830882,0.0002898299,0.00004531928,0.0001131517],"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":[0.000002919778,0.00000883028,0.00003460855,0.00001714934,0.00001154118,0.000005794141,0.0002704113,0.000001834442,8.524725e-9,0.00002877448,0.9995235,0.00009461827],"study_design_scores_gemma":[0.00005410559,0.000006593025,0.0004551624,0.00007706879,0.00002098444,4.441371e-7,0.001104476,6.821301e-7,7.437996e-7,0.00001899608,0.9980998,0.0001609679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001617274,0.00008351971,2.224848e-8,0.0004139399,0.0004883086,0.0002858571,0.9978358,0.00005040139,0.000826038],"genre_scores_gemma":[0.0008219847,0.00004288267,1.804614e-7,0.0003850714,0.0003624984,0.00009906009,0.9980434,0.000005195003,0.0002396921],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.768925,"threshold_uncertainty_score":0.9985373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08220931255328406,"score_gpt":0.3144870849526063,"score_spread":0.2322777723993222,"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."}}