{"id":"W3183122887","doi":"10.1111/cobi.13806","title":"Redefining and mapping global irreplaceability","year":2021,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Biology; Computer science; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003102082,0.0008669218,0.0006794604,0.005521263,0.0006119877,0.002291642,0.001105156,0.0006381585,0.002208902],"category_scores_gemma":[0.01737156,0.0003916953,0.0009322038,0.006108113,0.001996716,0.003353386,0.004403086,0.0009298163,0.0004103483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050045,"about_ca_system_score_gemma":0.0008181506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009527893,"about_ca_topic_score_gemma":0.01089043,"domain_scores_codex":[0.9980646,0.0004631062,0.0001136432,0.0007036153,0.0004723476,0.0001827557],"domain_scores_gemma":[0.9916794,0.003481085,0.00178609,0.001478074,0.001376158,0.0001991619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002687788,0.00008493963,0.3833736,0.001191181,0.0004427519,0.0008310545,0.006403697,0.2216118,0.01311974,0.07515478,0.004989317,0.2925285],"study_design_scores_gemma":[0.0000605205,0.0003137641,0.3972217,0.0004635497,0.0002741665,0.0008114853,0.006906874,0.3156997,0.01299376,0.2060757,0.05889999,0.0002788032],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4969725,0.001020826,0.4712997,0.0005660267,0.00005644554,0.0001539279,0.004981704,0.001430507,0.02351836],"genre_scores_gemma":[0.9420667,0.0002104852,0.05491088,0.00005730119,0.00001780355,0.0001036958,0.001778869,0.0002049601,0.0006492183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009527893,"threshold_uncertainty_score":0.01894486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04979308116987707,"score_gpt":0.2750311745423977,"score_spread":0.2252380933725206,"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."}}