{"id":"W6905758056","doi":"10.15468/dl.jpd4ba","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":"Matching (statistics); Download; Range (aeronautics); Alien","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":[0.0009071848,0.002018135,0.001545394,0.005490503,0.0009739083,0.002755322,0.002803253,0.001846921,0.2067681],"category_scores_gemma":[0.006198845,0.001000757,0.001269195,0.01127455,0.0004361121,0.002370793,0.00278031,0.001879116,0.2740448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658372,"about_ca_system_score_gemma":0.002561654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02337287,"about_ca_topic_score_gemma":0.03692428,"domain_scores_codex":[0.9989393,0.0001377545,0.0001423753,0.0003771415,0.0002249155,0.0001784035],"domain_scores_gemma":[0.9975751,0.0006619851,0.0002265879,0.0006268212,0.000647332,0.0002623051],"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":[0.00002669795,0.000008641423,0.0003117012,0.0005224615,0.00001222839,0.00001250064,0.0000224146,0.00009570134,0.00009182782,0.0003821379,0.9969739,0.001539702],"study_design_scores_gemma":[0.00005427118,0.000006315323,0.001287398,0.0001576024,0.00001213928,0.00002884708,0.00005799826,0.0001002109,0.0001492514,0.0007108742,0.9974197,0.0000153384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003187033,0.00002482808,0.0000426547,0.00003141494,0.00001078342,0.000004605482,0.9987088,0.0004016724,0.0007433964],"genre_scores_gemma":[0.0001491421,0.00004095045,0.0002230447,0.00004825332,0.000003625151,0.00004392744,0.998601,0.000209944,0.0006800456],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.793232,"threshold_uncertainty_score":0.691708,"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."}}