{"id":"W6887204550","doi":"10.15468/dl.ucubk7","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":[0.0009918322,0.001970414,0.001564063,0.004899364,0.0009959935,0.00260524,0.00262616,0.001980716,0.1653037],"category_scores_gemma":[0.006564517,0.0009164385,0.00119922,0.009772804,0.0004307176,0.002210849,0.002522149,0.001846949,0.2113153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538112,"about_ca_system_score_gemma":0.002333753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02024602,"about_ca_topic_score_gemma":0.03200058,"domain_scores_codex":[0.9989011,0.0001526842,0.0001436441,0.000396173,0.0002275148,0.0001788262],"domain_scores_gemma":[0.9974574,0.0007706764,0.0002462832,0.0006342235,0.0006133402,0.000278136],"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":[0.00003274198,0.00001110498,0.0004134486,0.0005718057,0.00001504301,0.00001459179,0.00002155233,0.0001281931,0.0001121906,0.0003762237,0.9968676,0.00143555],"study_design_scores_gemma":[0.0000802267,0.00001012927,0.001938379,0.0002082594,0.00001603567,0.00003741813,0.00006615779,0.0001598211,0.0001898818,0.0008458244,0.9964287,0.00001920464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004083217,0.00002614495,0.00003861605,0.00003331465,0.00001138766,0.000004928084,0.9989038,0.0003456105,0.0005954203],"genre_scores_gemma":[0.0001687948,0.0000360959,0.000192371,0.00004839248,0.000003733229,0.00004374912,0.9988808,0.0001524396,0.0004736348],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8346964,"threshold_uncertainty_score":0.5529958,"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."}}