{"id":"W6924555376","doi":"10.15468/dl.kfpc5f","title":"Occurrence Download","year":2015,"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); Data set; Set (abstract data type)","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":[0.00109994,0.001977854,0.001607548,0.005658653,0.0009599472,0.002707495,0.002910741,0.001937711,0.1535948],"category_scores_gemma":[0.006127774,0.0009237415,0.001252515,0.01103645,0.0004512151,0.0023852,0.002817414,0.002008088,0.2233627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001674536,"about_ca_system_score_gemma":0.002656432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02233529,"about_ca_topic_score_gemma":0.03856298,"domain_scores_codex":[0.9987829,0.0001627104,0.000162058,0.0004054523,0.0002791414,0.0002078185],"domain_scores_gemma":[0.9973967,0.000632045,0.0002638107,0.0007160151,0.0006790296,0.0003123853],"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":[0.00002891662,0.00001015668,0.0003660134,0.0005009869,0.00001627545,0.0000124893,0.00002095116,0.000108411,0.0001075349,0.0003862114,0.9970695,0.001372568],"study_design_scores_gemma":[0.00006454802,0.000007590793,0.00187821,0.0001907798,0.0000147749,0.00003382853,0.0000595337,0.0001143056,0.0001744512,0.0007049617,0.9967406,0.00001635061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003966384,0.00003090714,0.00004014609,0.00003246503,0.00001125438,0.000005143975,0.9988356,0.0003407185,0.0006641104],"genre_scores_gemma":[0.0001373435,0.00003307775,0.0001508378,0.00004219186,0.000003093322,0.00003016173,0.9990687,0.0001148929,0.0004197818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8464053,"threshold_uncertainty_score":0.5138257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}