{"id":"W6943219244","doi":"10.15468/dl.lzpa0d","title":"Occurrence Download","year":2018,"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; Set (abstract data type)","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":[0.001019555,0.001946997,0.001594248,0.005192909,0.001020802,0.002692573,0.003007561,0.001977678,0.1532144],"category_scores_gemma":[0.006423162,0.0009034352,0.001264675,0.01011956,0.0004606129,0.002354079,0.002733671,0.002119202,0.2207369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594095,"about_ca_system_score_gemma":0.002538902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02276171,"about_ca_topic_score_gemma":0.03530126,"domain_scores_codex":[0.9988932,0.000143042,0.0001427495,0.0003783897,0.000258898,0.0001836997],"domain_scores_gemma":[0.9974073,0.0006829965,0.0002411453,0.000722378,0.0006551621,0.0002910566],"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":[0.0000273863,0.00001082122,0.0004051837,0.0004574415,0.00001575646,0.00001524447,0.00002485739,0.0001267595,0.0001111533,0.0003979366,0.9969631,0.001444489],"study_design_scores_gemma":[0.0000630705,0.000007199577,0.001845267,0.0001879613,0.00001490753,0.00003821612,0.00007622381,0.0001574943,0.0001966201,0.0008155942,0.9965799,0.00001755784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004454644,0.00002720764,0.00005131847,0.00003917254,0.00001380806,0.000005207924,0.9987227,0.0004536184,0.0006423962],"genre_scores_gemma":[0.0001516173,0.00003030811,0.0001852469,0.00003836814,0.000003320053,0.00003675537,0.9989461,0.0001538012,0.0004543596],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8467856,"threshold_uncertainty_score":0.5125532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}