{"id":"W6924297837","doi":"10.15468/dl.likhvc","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":"Download; Matching (statistics); Range (aeronautics); Confidentiality; Order (exchange)","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":[0.0008656333,0.001998113,0.001559773,0.005641443,0.0009774775,0.002793735,0.002966705,0.002076098,0.144767],"category_scores_gemma":[0.005956307,0.0009115282,0.001285513,0.01183082,0.0004178311,0.002429078,0.002547876,0.002163063,0.21228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001816566,"about_ca_system_score_gemma":0.002726051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02686626,"about_ca_topic_score_gemma":0.04311541,"domain_scores_codex":[0.9989318,0.0001334975,0.0001421608,0.0003711294,0.0002453596,0.000176008],"domain_scores_gemma":[0.997721,0.000605695,0.0002155835,0.0005935868,0.0005960815,0.0002679286],"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":[0.0000266036,0.0000103483,0.0004064385,0.0005280787,0.00001555314,0.00001553524,0.00002299927,0.0001259071,0.000100863,0.0004176959,0.9967656,0.001564173],"study_design_scores_gemma":[0.00006190423,0.000006418408,0.00165299,0.0001836215,0.00001416604,0.00003964357,0.00006574141,0.0001595915,0.0001642822,0.0007140387,0.9969228,0.00001492438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004278607,0.00003396618,0.00004665635,0.00003958736,0.00001158362,0.000004933711,0.9987301,0.000395005,0.0006953258],"genre_scores_gemma":[0.0001509596,0.00004306539,0.0001898312,0.00004356651,0.000003163707,0.0000356551,0.9988933,0.0001385699,0.0005018754],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.855233,"threshold_uncertainty_score":0.4842939,"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."}}