{"id":"W6905785884","doi":"10.15468/dl.qmha8t","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009267211,0.002036481,0.001515546,0.005042559,0.000964249,0.002497286,0.002565059,0.001946902,0.173105],"category_scores_gemma":[0.006112463,0.0008865627,0.001184936,0.009888288,0.0004424586,0.002117708,0.002509696,0.001776544,0.2275086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146871,"about_ca_system_score_gemma":0.002298753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02065857,"about_ca_topic_score_gemma":0.03246672,"domain_scores_codex":[0.9989774,0.0001390607,0.0001309625,0.0003661832,0.000213397,0.0001729462],"domain_scores_gemma":[0.9975405,0.0007304418,0.0002360503,0.0006080577,0.0006117389,0.0002732339],"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":[0.00003143631,0.00001133906,0.0004024795,0.0005383088,0.00001362236,0.0000143123,0.00002156058,0.0001260604,0.0001133109,0.0003368233,0.9969435,0.001447142],"study_design_scores_gemma":[0.00008104948,0.00001083014,0.001939142,0.000199808,0.00001539155,0.00003655511,0.00007155778,0.0001610875,0.0001935531,0.0007929262,0.9964792,0.00001898168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004517931,0.0000264004,0.00003777336,0.00003393462,0.00001219083,0.000005161733,0.9988583,0.0003621185,0.0006189215],"genre_scores_gemma":[0.0001709339,0.00003500978,0.0001889768,0.00004682941,0.00000385498,0.00004456603,0.9988667,0.0001517955,0.0004914812],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.826895,"threshold_uncertainty_score":0.5790939,"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."}}