{"id":"W6962247348","doi":"10.15468/dl.zptoh0","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":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.0008326659,0.002076845,0.001460319,0.004870881,0.0009390268,0.002462298,0.002900869,0.001833027,0.1145601],"category_scores_gemma":[0.005784432,0.000835257,0.001187347,0.01006097,0.000428158,0.002351487,0.002579059,0.001811831,0.1738843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741718,"about_ca_system_score_gemma":0.002546261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02906356,"about_ca_topic_score_gemma":0.05022109,"domain_scores_codex":[0.9989568,0.0001279046,0.0001348089,0.0003507316,0.0002562763,0.0001735093],"domain_scores_gemma":[0.9978837,0.0005111476,0.0002086717,0.0005598642,0.0005990209,0.000237519],"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":[0.0000319814,0.00001222971,0.0004860055,0.0004868684,0.00001470982,0.0000186386,0.00002528051,0.0001382129,0.0001263528,0.0004362346,0.9965024,0.00172107],"study_design_scores_gemma":[0.00005799607,0.000008303146,0.001889652,0.000169536,0.00001286562,0.00004961538,0.00007554771,0.0001829457,0.0002257273,0.0007548452,0.996555,0.00001795487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006504997,0.00003989967,0.00006150419,0.00004113875,0.00001414494,0.000005821798,0.9983443,0.0005975664,0.0008305499],"genre_scores_gemma":[0.0001867024,0.0000403797,0.0002228674,0.00003734665,0.000003204165,0.00003361241,0.9988194,0.0001617577,0.0004946134],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8854399,"threshold_uncertainty_score":0.3832418,"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."}}