{"id":"W6943323368","doi":"10.15468/dl.z29ks9","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); Set (abstract data type); Data set","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":[0.001024292,0.001906776,0.001648319,0.005182819,0.000936174,0.002510239,0.002702568,0.002002868,0.1563675],"category_scores_gemma":[0.006230036,0.0009053542,0.001173099,0.01043429,0.0004269182,0.002180313,0.002402178,0.001875638,0.2078676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508436,"about_ca_system_score_gemma":0.002227949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016141,"about_ca_topic_score_gemma":0.03236919,"domain_scores_codex":[0.9989183,0.0001466939,0.0001484884,0.0003714916,0.0002413007,0.0001737337],"domain_scores_gemma":[0.9974055,0.0007572114,0.0002506695,0.0006606328,0.0006367154,0.0002892872],"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":[0.00003207898,0.00001176517,0.0004180064,0.0006070096,0.00001735569,0.0000158299,0.00002271216,0.0001403774,0.0001241753,0.0003672457,0.9967455,0.001497977],"study_design_scores_gemma":[0.00008283592,0.000009319743,0.002183093,0.0002155317,0.00001670838,0.00003918504,0.00007119626,0.0001542255,0.0001888997,0.0007575215,0.9962625,0.00001893185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003961735,0.0000262263,0.0000376634,0.00003044774,0.0000101674,0.000004866665,0.9990414,0.0003002916,0.000509425],"genre_scores_gemma":[0.0001545721,0.00003227881,0.0001671829,0.0000397897,0.000003350129,0.00004028646,0.9990625,0.0001158605,0.0003841876],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8436325,"threshold_uncertainty_score":0.5231014,"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."}}