{"id":"W6906105844","doi":"10.15468/dl.yjr7xj","title":"Occurrence Download","year":2022,"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); Upload; Order (exchange)","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":[0.001152867,0.002021137,0.001690468,0.005264961,0.001075852,0.002738818,0.003000444,0.00206938,0.1697355],"category_scores_gemma":[0.0064781,0.0009915375,0.00116171,0.01037981,0.0004704826,0.002425731,0.002652755,0.002121018,0.2339441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724757,"about_ca_system_score_gemma":0.002547124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02367985,"about_ca_topic_score_gemma":0.03820607,"domain_scores_codex":[0.998861,0.0001533456,0.0001471509,0.0003926916,0.0002587778,0.0001871316],"domain_scores_gemma":[0.9973349,0.0007607472,0.000254691,0.0006826923,0.0006640289,0.0003029374],"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":[0.00002736763,0.00001052836,0.0003464844,0.0005087956,0.00001484447,0.00001427767,0.00002474762,0.0001126267,0.0001149596,0.0003894415,0.9970849,0.001351065],"study_design_scores_gemma":[0.00006352505,0.000006694125,0.001673278,0.0001829594,0.00001400182,0.00003437669,0.0000692169,0.0001241905,0.0001802897,0.0007442043,0.9968899,0.000017492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003486907,0.00002483802,0.00004769652,0.00003339167,0.00001110661,0.000004845607,0.9988222,0.0003689558,0.000652072],"genre_scores_gemma":[0.0001398575,0.00003051299,0.0001917463,0.00004106646,0.000002998122,0.00003948453,0.9989488,0.0001630774,0.0004425637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8302645,"threshold_uncertainty_score":0.5678217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}