{"id":"W6887377327","doi":"10.15468/dl.zjsk6g","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); Order (exchange); Column (typography)","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":[0.0009796508,0.001998724,0.001645826,0.005111956,0.001011813,0.002710067,0.002887751,0.001993921,0.1500518],"category_scores_gemma":[0.005732247,0.000894937,0.001189959,0.01062774,0.0004532462,0.002268741,0.002691468,0.002002212,0.2172231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707809,"about_ca_system_score_gemma":0.002683393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02694179,"about_ca_topic_score_gemma":0.04535604,"domain_scores_codex":[0.9989567,0.0001311124,0.0001322179,0.0003571922,0.000242889,0.000179906],"domain_scores_gemma":[0.9977105,0.0005983379,0.0002203744,0.000613232,0.0005753764,0.0002822004],"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":[0.00002869383,0.00001000455,0.0003699492,0.0005252833,0.0000155739,0.00001499425,0.0000256418,0.000120576,0.0001284157,0.0004302247,0.9969783,0.00135236],"study_design_scores_gemma":[0.00006156405,0.000006423104,0.001658544,0.0001741116,0.0000136416,0.00003398311,0.00006846007,0.0001243355,0.0001937684,0.0007504838,0.9968981,0.00001674052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003793294,0.00002634639,0.00004248044,0.00003125198,0.00001052152,0.000004355688,0.9988397,0.000369262,0.0006381398],"genre_scores_gemma":[0.0001446088,0.0000318425,0.0001797716,0.00003779505,0.000002802673,0.0000327975,0.9989705,0.0001507751,0.0004490411],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8499482,"threshold_uncertainty_score":0.5019732,"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."}}