{"id":"W6906171013","doi":"10.15468/dl.vya0ue","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); Reference data","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":[0.001000796,0.001904525,0.001605669,0.005196388,0.0008784458,0.002535195,0.002816397,0.002046977,0.1496471],"category_scores_gemma":[0.006382318,0.0008574005,0.00120787,0.01000428,0.0004189846,0.002264595,0.002534024,0.00191409,0.2059183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520521,"about_ca_system_score_gemma":0.002312648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01914799,"about_ca_topic_score_gemma":0.03094728,"domain_scores_codex":[0.9989109,0.0001436177,0.0001538002,0.0003739606,0.0002357647,0.0001818585],"domain_scores_gemma":[0.9974074,0.0007154504,0.0002679366,0.0006962723,0.0006054605,0.0003075642],"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":[0.00003284792,0.00001193155,0.000458379,0.0005724134,0.00001794749,0.00001633201,0.00002181365,0.0001382652,0.000121097,0.0003779371,0.9967424,0.001488527],"study_design_scores_gemma":[0.00008174925,0.000009274501,0.002175297,0.0002109309,0.00001720421,0.00004212853,0.00006594087,0.0001619934,0.0001977017,0.0007930322,0.9962267,0.00001811732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004242408,0.00002790221,0.00003956241,0.00003369615,0.00001110541,0.000004838261,0.9989758,0.0003230883,0.0005416762],"genre_scores_gemma":[0.0001560447,0.00003250057,0.0001627589,0.00004049262,0.000003448664,0.00003527224,0.9990512,0.000111521,0.0004068438],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8503529,"threshold_uncertainty_score":0.5006193,"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."}}