{"id":"W6906272871","doi":"10.15468/dl.xwpvdy","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 collection; State (computer science)","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":[0.001061728,0.001889285,0.001593892,0.005190629,0.0009050714,0.002530641,0.002916398,0.002100025,0.1396829],"category_scores_gemma":[0.006398344,0.0008400517,0.001213787,0.01003985,0.0004275493,0.002262163,0.002551247,0.001923191,0.1914771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545141,"about_ca_system_score_gemma":0.002278692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01798032,"about_ca_topic_score_gemma":0.03001708,"domain_scores_codex":[0.9988763,0.0001548563,0.0001612403,0.0003811148,0.0002422793,0.0001841895],"domain_scores_gemma":[0.997408,0.0007049442,0.0002751786,0.0007060849,0.0006057331,0.0003002054],"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":[0.00003471541,0.00001322486,0.0004823926,0.0006169095,0.00001893556,0.0000173943,0.00002354109,0.0001457675,0.0001323047,0.0004055923,0.9965898,0.001519498],"study_design_scores_gemma":[0.0000856577,0.000009950695,0.002295283,0.0002218448,0.00001779264,0.00004403704,0.00006893884,0.0001683879,0.00020822,0.0007880425,0.9960729,0.00001887477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004812994,0.00003067924,0.00004127114,0.00003449978,0.00001125317,0.000005271966,0.9989434,0.0003250412,0.0005604849],"genre_scores_gemma":[0.0001626761,0.00003230833,0.0001632849,0.000040205,0.00000327724,0.00003734534,0.9990819,0.0001028153,0.0003762099],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8603171,"threshold_uncertainty_score":0.4672857,"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."}}