{"id":"W6906021220","doi":"10.15468/dl.twm2u3","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":[0.0009631963,0.001927848,0.001610778,0.005142318,0.001012581,0.002679507,0.002862067,0.002036598,0.1557063],"category_scores_gemma":[0.006497541,0.0009055979,0.001252401,0.009948125,0.0004550319,0.002541288,0.002859413,0.002020163,0.2343458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560969,"about_ca_system_score_gemma":0.002417779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0220023,"about_ca_topic_score_gemma":0.03789835,"domain_scores_codex":[0.9989184,0.0001407614,0.0001437927,0.0003798344,0.0002443093,0.0001727606],"domain_scores_gemma":[0.9973179,0.0007331355,0.0002516973,0.0007240395,0.0006670527,0.0003061493],"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":[0.00002584561,0.00001082496,0.0004171709,0.0005158708,0.00001456512,0.00001509945,0.00002603319,0.0001135255,0.0001030365,0.0003522773,0.9968863,0.001519534],"study_design_scores_gemma":[0.00005822217,0.000007545708,0.001919306,0.0002004876,0.00001379853,0.00003858794,0.00007865186,0.000148813,0.0001687697,0.0007269336,0.9966223,0.00001655341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004723895,0.0000321791,0.00005003723,0.00004011826,0.00001459563,0.000005429975,0.998705,0.0004332014,0.0006721847],"genre_scores_gemma":[0.0001569907,0.00003705547,0.0002088644,0.00004424174,0.000003798368,0.00003993456,0.9988343,0.0001612736,0.0005135236],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8442937,"threshold_uncertainty_score":0.5208895,"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."}}