{"id":"W6961834386","doi":"10.15468/dl.pc7siz","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); 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":[0.0009998541,0.001978967,0.001542379,0.004934362,0.0009236196,0.00250023,0.002919762,0.001943672,0.1353124],"category_scores_gemma":[0.005801982,0.0008149566,0.00115379,0.009951958,0.0004191514,0.002385311,0.002522659,0.001986991,0.2041835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689353,"about_ca_system_score_gemma":0.002385739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02279857,"about_ca_topic_score_gemma":0.03787662,"domain_scores_codex":[0.9989656,0.000142747,0.0001326814,0.0003492931,0.0002348705,0.0001748383],"domain_scores_gemma":[0.9976915,0.0006035268,0.0002336663,0.0006227245,0.0005684211,0.0002801362],"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":[0.00003003497,0.00001251627,0.0004318116,0.0004721106,0.00001498072,0.00001483453,0.00002334555,0.0001338412,0.0001078235,0.0004048454,0.9969452,0.001408807],"study_design_scores_gemma":[0.00007053322,0.000008306198,0.002000523,0.0001843833,0.00001402455,0.00003801054,0.00007088827,0.000169565,0.0001892677,0.0007946116,0.9964431,0.00001668813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004925796,0.00002971212,0.000044184,0.00003573338,0.00001142509,0.000005008109,0.9988129,0.0003535718,0.0006582907],"genre_scores_gemma":[0.0001477311,0.00003055791,0.0001545348,0.00003390917,0.000003083247,0.00003242775,0.9990662,0.0001086658,0.0004229368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8646876,"threshold_uncertainty_score":0.452665,"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."}}