{"id":"W6943392587","doi":"10.15468/dl.akgdsv","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chamaecyparis; Cupressaceae; Picea abies; Cupressus; Abies lasiocarpa; Picea engelmannii","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007003726,0.002374486,0.002097733,0.006654047,0.001325676,0.004078043,0.002942024,0.002597735,0.2655586],"category_scores_gemma":[0.005595202,0.0009779269,0.001510274,0.0104639,0.0003941777,0.004162175,0.003661283,0.002114536,0.3729306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001757329,"about_ca_system_score_gemma":0.002250867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01931992,"about_ca_topic_score_gemma":0.03619627,"domain_scores_codex":[0.9989945,0.0001115875,0.000144879,0.00035188,0.0002336898,0.0001634066],"domain_scores_gemma":[0.9980004,0.0005006616,0.0001653335,0.0004655755,0.0006103525,0.0002575921],"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":[0.00004735688,0.00001273135,0.0003530592,0.0006843656,0.00001379912,0.00003210476,0.0000273705,0.00009194575,0.0001107978,0.0005065092,0.9947227,0.003397326],"study_design_scores_gemma":[0.00005354979,0.00001003064,0.001188916,0.0001742872,0.00001169726,0.00006431272,0.00007569209,0.0002431592,0.0001331856,0.001076961,0.9969504,0.00001773469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009530252,0.0001233065,0.0001627154,0.0001064251,0.0000312153,0.0000146545,0.9942412,0.002269519,0.002955711],"genre_scores_gemma":[0.0003525101,0.0001146632,0.0005261844,0.0001216649,0.00001101091,0.00005569725,0.9966242,0.0005089437,0.00168508],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7344414,"threshold_uncertainty_score":0.8883821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}