{"id":"W6924912836","doi":"10.15468/dl.yws6zy","title":"Occurrence Download","year":2016,"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); Set (abstract data type); Confidentiality","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":[0.0009456417,0.002048279,0.001680923,0.005350222,0.0009494288,0.002555583,0.002941727,0.002143091,0.1377852],"category_scores_gemma":[0.005941768,0.0008802065,0.001255155,0.01037544,0.0004522148,0.00237392,0.002737408,0.00202597,0.2081034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00173547,"about_ca_system_score_gemma":0.002470313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02370511,"about_ca_topic_score_gemma":0.03795994,"domain_scores_codex":[0.9989275,0.0001347884,0.0001340572,0.0003628222,0.0002519976,0.0001887673],"domain_scores_gemma":[0.997615,0.0005937743,0.0002437416,0.0006283707,0.0006083186,0.0003108276],"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":[0.00003011933,0.00001213586,0.0004570461,0.0005497739,0.00001612296,0.00001518949,0.00002561827,0.0001368788,0.0001192224,0.0003725211,0.9967571,0.001508204],"study_design_scores_gemma":[0.0000755859,0.000009039131,0.002156836,0.0002082094,0.00001489059,0.0000412272,0.00007654986,0.0001823874,0.0001822302,0.0007089499,0.996327,0.00001704361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004891699,0.00003138486,0.00003975012,0.00003624364,0.0000120722,0.000004869341,0.9988618,0.0003773281,0.0005875909],"genre_scores_gemma":[0.000152552,0.00003286915,0.0001645912,0.00003721069,0.000003039715,0.00003178728,0.9990613,0.0001199286,0.0003967394],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8622148,"threshold_uncertainty_score":0.4609374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}