{"id":"W6960686568","doi":"10.1371/journal.pone.0281980.g004","title":"Vignettes of three priority regions for species at risk and biodiversity in Canada.","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Education Methods and Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Government (linguistics); Global biodiversity; Current (fluid)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007907731,0.00006245177,0.0001368603,0.00008290393,0.0001190679,0.000007968974,0.0001638832,0.0001358613,0.02037042],"category_scores_gemma":[0.002502677,0.00006201757,0.00002371067,0.000168143,0.00003931731,0.00001531792,0.00008382422,0.00007090356,0.00001753381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850702,"about_ca_system_score_gemma":0.000495331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8605561,"about_ca_topic_score_gemma":0.9990326,"domain_scores_codex":[0.9995426,0.00003245936,0.00006493186,0.0001354964,0.000104748,0.0001197838],"domain_scores_gemma":[0.9992835,0.0004065619,0.0001392502,0.0001145523,0.00003130723,0.00002485628],"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":[5.583904e-7,0.000002243783,0.01753703,0.00005163834,0.000005527897,5.143133e-7,0.0001968247,3.679241e-8,1.067164e-7,0.0003196418,0.9807343,0.001151534],"study_design_scores_gemma":[0.00004232593,0.000003726268,0.03025561,0.0002725945,0.000005236114,2.190035e-8,0.001617394,3.196416e-7,0.000007948713,0.0007144347,0.9670094,0.00007099139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006537223,0.001878443,0.000002563733,0.002110687,0.0002903947,0.0009288419,0.897448,0.0003289913,0.09635833],"genre_scores_gemma":[0.0042366,0.007134838,0.01033763,0.0002507853,0.001108543,0.0006589632,0.0325436,0.0004595782,0.9432694],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8649044,"threshold_uncertainty_score":0.9805251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.122052242173867,"score_gpt":0.321196585870571,"score_spread":0.199144343696704,"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."}}