{"id":"W6943391843","doi":"10.15468/dl.sjqqy9","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); Order (exchange)","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":[0.001031289,0.00209415,0.001687035,0.005214968,0.001005682,0.002759309,0.00315951,0.00208373,0.1389833],"category_scores_gemma":[0.006065851,0.0009282411,0.00124353,0.01048125,0.0004380658,0.002553753,0.002695852,0.00213301,0.2087183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164226,"about_ca_system_score_gemma":0.002364856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02085514,"about_ca_topic_score_gemma":0.03414914,"domain_scores_codex":[0.9988668,0.0001514711,0.0001491017,0.0003892396,0.000258599,0.0001848434],"domain_scores_gemma":[0.9976372,0.0006193742,0.0002287585,0.0006633696,0.0005752174,0.0002760515],"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":[0.00002908863,0.00001185647,0.0003916058,0.0004912071,0.00001568895,0.00001505523,0.00002208801,0.000128841,0.0001054427,0.0003944996,0.9969639,0.001430686],"study_design_scores_gemma":[0.00007074373,0.000007657794,0.001781014,0.0001889827,0.00001457761,0.00004006875,0.00006696993,0.0001684103,0.0001875653,0.0008321502,0.9966245,0.00001728342],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004604967,0.00003239084,0.00004956912,0.00003685098,0.00001270193,0.000005190696,0.9987584,0.0004097723,0.0006490131],"genre_scores_gemma":[0.0001445606,0.00003311915,0.0001688549,0.0000376396,0.000003154787,0.00003413321,0.9990338,0.0001273065,0.0004173293],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8610168,"threshold_uncertainty_score":0.4649453,"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."}}