{"id":"W6887001994","doi":"10.15468/dl.dskhxp","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":"Download; Sphagnum; Matching (statistics); Taxon; Range (aeronautics)","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":[0.0007004451,0.002606777,0.002038511,0.006433987,0.001232858,0.003650353,0.002878616,0.002540776,0.282941],"category_scores_gemma":[0.005666906,0.0009539562,0.001648011,0.009933027,0.0003557141,0.003979567,0.003541021,0.002156741,0.3809036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775467,"about_ca_system_score_gemma":0.002007365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01733903,"about_ca_topic_score_gemma":0.03375607,"domain_scores_codex":[0.9989247,0.0001119073,0.0001466702,0.0003889532,0.0002465926,0.0001811214],"domain_scores_gemma":[0.9978535,0.0005324598,0.0001871035,0.0004805576,0.0006533098,0.0002930829],"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":[0.00004881517,0.0000148837,0.0003873421,0.0006978773,0.00001498472,0.00003008365,0.00002149239,0.0000995423,0.0001178789,0.0004003682,0.9952305,0.002936295],"study_design_scores_gemma":[0.0000769828,0.00001350872,0.001464862,0.0001906412,0.00001497945,0.00006839632,0.00007854707,0.0003048774,0.0001684753,0.001075669,0.9965236,0.00001958976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007654006,0.00008180534,0.0001169073,0.0000723319,0.00002693263,0.00001148441,0.9959695,0.001653441,0.001991078],"genre_scores_gemma":[0.0002806153,0.00007341373,0.0004359324,0.00009068074,0.000009301705,0.00004529929,0.9976225,0.0003622943,0.001079816],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.717059,"threshold_uncertainty_score":0.946532,"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."}}