{"id":"W6887335233","doi":"10.15468/dl.z27hkj","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); Alien; 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":[0.001056007,0.001984787,0.00163202,0.005101703,0.001061937,0.002659584,0.002827639,0.002181099,0.1500707],"category_scores_gemma":[0.006135431,0.0009350173,0.001275764,0.009754851,0.0004740289,0.002291761,0.002605638,0.002098473,0.2213723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629368,"about_ca_system_score_gemma":0.002460558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0216536,"about_ca_topic_score_gemma":0.03522322,"domain_scores_codex":[0.9988958,0.0001552199,0.0001333846,0.0003887623,0.000243197,0.0001836926],"domain_scores_gemma":[0.9973578,0.0007724241,0.0002372931,0.0007138368,0.000611675,0.0003068663],"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":[0.00003047194,0.00001233592,0.0003989756,0.0005241317,0.00001483351,0.00001546866,0.00002411644,0.0001234211,0.0001222107,0.0003801455,0.9969417,0.001412081],"study_design_scores_gemma":[0.00007458955,0.000009172042,0.002020579,0.0002103679,0.0000154221,0.00004065928,0.00007830661,0.0001532014,0.0002044946,0.000798732,0.9963763,0.00001831424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004736177,0.00003018066,0.00004496657,0.00003887819,0.00001271794,0.000005568499,0.9987895,0.0003944391,0.0006363576],"genre_scores_gemma":[0.0001578737,0.00003308654,0.0001868462,0.00004691879,0.00000336944,0.00004054276,0.9989403,0.0001414646,0.0004496193],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8499293,"threshold_uncertainty_score":0.5020365,"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."}}