{"id":"W6905732875","doi":"10.15468/dl.l5ztu3","title":"Occurrence Download","year":2019,"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); Column (typography)","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":[0.001057817,0.001978798,0.001645779,0.005356936,0.001024213,0.002672525,0.002999083,0.002067818,0.1475419],"category_scores_gemma":[0.006120466,0.0009209645,0.001170763,0.01050768,0.0004542432,0.002342912,0.002545422,0.002033021,0.2142467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683703,"about_ca_system_score_gemma":0.002363599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02246904,"about_ca_topic_score_gemma":0.03398572,"domain_scores_codex":[0.9989008,0.0001505201,0.0001467456,0.0003794812,0.0002447427,0.0001778515],"domain_scores_gemma":[0.9974692,0.0007276731,0.0002387099,0.0006611829,0.0006235983,0.0002796372],"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":[0.00003015958,0.00001144078,0.0003576907,0.0005422921,0.00001576846,0.00001651361,0.00002454912,0.0001241218,0.000113871,0.0004300952,0.9969816,0.00135174],"study_design_scores_gemma":[0.00007048727,0.000007363766,0.001692181,0.0001839522,0.00001497724,0.00003968321,0.00007057154,0.0001512245,0.0001943575,0.000815338,0.9967421,0.00001785474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004024391,0.0000290724,0.00004774914,0.00003606354,0.00001169722,0.000005150017,0.9988071,0.0003866727,0.0006362614],"genre_scores_gemma":[0.0001525492,0.00003354415,0.000177346,0.00003967373,0.00000308679,0.00003686473,0.9990093,0.0001406552,0.0004070949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8524581,"threshold_uncertainty_score":0.4935769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}