{"id":"W6924650306","doi":"10.15468/dl.nvtkhu","title":"Occurrence Download","year":2023,"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; Matching (statistics); Range (aeronautics); The Internet","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":[0.0009230983,0.002031395,0.001705127,0.005136662,0.001186784,0.002842004,0.002983969,0.002304271,0.1568827],"category_scores_gemma":[0.005961789,0.0009809593,0.001459878,0.009709301,0.0004686389,0.002580377,0.002738654,0.002168434,0.2340595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638156,"about_ca_system_score_gemma":0.002478453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0197661,"about_ca_topic_score_gemma":0.03208922,"domain_scores_codex":[0.998911,0.0001466785,0.0001427725,0.0003979274,0.000219519,0.0001821628],"domain_scores_gemma":[0.9977385,0.0006274379,0.0001906536,0.0006105881,0.0005829813,0.0002498909],"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":[0.00003275737,0.00001248584,0.0004099786,0.0006859996,0.00001701881,0.00001796999,0.00002508634,0.0001218789,0.0001391507,0.0003722652,0.9964256,0.001739877],"study_design_scores_gemma":[0.00006998433,0.000009027993,0.001697149,0.0002219072,0.00001649515,0.0000462293,0.00007418839,0.0001733768,0.0002037984,0.00075597,0.996714,0.00001785985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005316034,0.00004549882,0.00005633581,0.00004665644,0.00001673921,0.000007237149,0.9984483,0.0005316841,0.0007944998],"genre_scores_gemma":[0.0001664159,0.00004443837,0.0002234743,0.00005822231,0.00000415438,0.00004661736,0.9988075,0.0001623359,0.0004868177],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8431173,"threshold_uncertainty_score":0.524825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}