{"id":"W6905454704","doi":"10.15468/dl.kietdm","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); Data set; The Internet","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":[0.0009725324,0.001846851,0.001524439,0.005259395,0.0008887606,0.002475465,0.002724232,0.001848437,0.1510381],"category_scores_gemma":[0.005944021,0.0008095476,0.00116619,0.01011975,0.0004100886,0.002367796,0.00244778,0.001919084,0.2170606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001467203,"about_ca_system_score_gemma":0.002242946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01877587,"about_ca_topic_score_gemma":0.03106214,"domain_scores_codex":[0.9989266,0.0001517005,0.0001391143,0.0003676969,0.0002402313,0.000174782],"domain_scores_gemma":[0.9974293,0.0006900242,0.0002472133,0.0006937582,0.0006527089,0.0002870524],"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":[0.00002487716,0.00001053313,0.0003757101,0.0004296521,0.00001415168,0.00001224692,0.00001939963,0.0001283291,0.00008661289,0.0003370422,0.9971339,0.001427597],"study_design_scores_gemma":[0.00007105542,0.000009085123,0.001971198,0.0001890735,0.00001477248,0.00003586088,0.00007500326,0.0001950413,0.0001798874,0.0008675599,0.9963743,0.00001712249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004321408,0.00002812214,0.00004640649,0.00003657235,0.00001300802,0.000005354224,0.9988381,0.0003827843,0.0006064533],"genre_scores_gemma":[0.0001524495,0.00003082195,0.0001719315,0.00003790593,0.000003704976,0.00003528484,0.9990133,0.0001189722,0.0004355785],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8489619,"threshold_uncertainty_score":0.5052729,"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."}}