{"id":"W6924437499","doi":"10.15468/dl.c5at7m","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; Matching (statistics); Range (aeronautics); Data set","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":[0.0009789556,0.002065313,0.001627015,0.005453683,0.001086177,0.002799131,0.003033395,0.002100076,0.1984209],"category_scores_gemma":[0.006842922,0.001000619,0.001212459,0.01048832,0.0004478513,0.002686591,0.002763321,0.002103358,0.2650836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001816117,"about_ca_system_score_gemma":0.002589808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02406186,"about_ca_topic_score_gemma":0.04037042,"domain_scores_codex":[0.9988696,0.0001517596,0.0001359119,0.0003935378,0.000270484,0.0001786212],"domain_scores_gemma":[0.9973782,0.0007597931,0.0002252166,0.0006499338,0.0006990763,0.0002877983],"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":[0.00002493634,0.000009359213,0.0002705752,0.0004526096,0.00001160957,0.00001258109,0.00002092247,0.00009487113,0.00008416635,0.0003303046,0.9973199,0.001368268],"study_design_scores_gemma":[0.0000614278,0.000006866043,0.001325836,0.0001796899,0.00001256194,0.00003368933,0.00007026049,0.0001427208,0.000178364,0.0007815007,0.9971898,0.00001723751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003695443,0.00002707256,0.00005531351,0.00004053041,0.00001218016,0.000005605422,0.9984999,0.0005141385,0.000808358],"genre_scores_gemma":[0.0001681368,0.00003920223,0.0002431091,0.00004946051,0.000003883675,0.00004892075,0.9985718,0.0002348628,0.0006406815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8015791,"threshold_uncertainty_score":0.6637839,"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."}}