{"id":"W6943659897","doi":"10.15468/dl.x3zabk","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); The Republic; Confidentiality","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":[0.0009842559,0.001872621,0.001461958,0.005024753,0.000897306,0.002687975,0.002771138,0.002051386,0.1316217],"category_scores_gemma":[0.006395231,0.0008563775,0.001252311,0.01018719,0.0004309363,0.00243102,0.002453523,0.001963996,0.1909364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001548081,"about_ca_system_score_gemma":0.002271937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02052891,"about_ca_topic_score_gemma":0.03071862,"domain_scores_codex":[0.9989434,0.0001519862,0.0001474668,0.0003519582,0.0002372082,0.0001680321],"domain_scores_gemma":[0.9975636,0.0006856839,0.0002282257,0.0006570432,0.0005929749,0.0002725534],"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":[0.00002857068,0.00001211763,0.0004512093,0.000514301,0.00001534169,0.00001501282,0.00002377736,0.0001640635,0.00008712906,0.0003561481,0.9965343,0.001798046],"study_design_scores_gemma":[0.00007387642,0.00000868557,0.002008596,0.0002218146,0.00001408979,0.00004138748,0.00008353384,0.0002366658,0.0001583442,0.0008172634,0.9963191,0.00001667148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005338703,0.00003514803,0.00004693715,0.00004601368,0.00001463364,0.000006001816,0.9988062,0.0003889039,0.0006027453],"genre_scores_gemma":[0.0001783034,0.00004072202,0.000198782,0.00004361437,0.00000401928,0.00004161693,0.9989384,0.000115404,0.0004391344],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8683783,"threshold_uncertainty_score":0.4403183,"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."}}