{"id":"W6887187981","doi":"10.15468/dl.tetv2i","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); Data set; 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":[0.000931549,0.001853597,0.001546675,0.005569579,0.0008700831,0.002565983,0.002715928,0.001843503,0.1436294],"category_scores_gemma":[0.005768152,0.0008287822,0.001150976,0.01116165,0.0004116177,0.002289982,0.002675129,0.001889808,0.2162989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155823,"about_ca_system_score_gemma":0.002515763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02268101,"about_ca_topic_score_gemma":0.03929142,"domain_scores_codex":[0.9988932,0.0001380399,0.0001487268,0.0003658614,0.0002644755,0.0001896936],"domain_scores_gemma":[0.9974877,0.000580712,0.0002679817,0.0006663848,0.0006805066,0.0003166395],"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":[0.00002921993,0.00001012526,0.0004209956,0.0004959613,0.00001578337,0.00001339523,0.00002093612,0.0001119669,0.0001087259,0.0003605861,0.9969168,0.001495602],"study_design_scores_gemma":[0.0000643538,0.000007851361,0.002171266,0.0001879233,0.00001454362,0.0000372619,0.00006483182,0.000128655,0.0001790732,0.0006963504,0.9964311,0.00001671351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004038059,0.00002777584,0.00003516494,0.00003093732,0.00001057918,0.000004595792,0.9989464,0.0003007149,0.0006035682],"genre_scores_gemma":[0.0001453808,0.00003429782,0.0001522554,0.000038815,0.000003481725,0.00003037445,0.9990432,0.0001075577,0.0004447442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8563706,"threshold_uncertainty_score":0.4804884,"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."}}