{"id":"W6962504923","doi":"10.15468/dl.zfvebu","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); 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":[],"consensus_categories":[],"category_scores_codex":[0.001072604,0.002093753,0.001740185,0.005837328,0.0009693271,0.002757009,0.003102243,0.002108696,0.1574112],"category_scores_gemma":[0.006455618,0.0009410286,0.001237433,0.01145068,0.0004570507,0.002400809,0.002862828,0.002074243,0.2104025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692741,"about_ca_system_score_gemma":0.002616373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02320094,"about_ca_topic_score_gemma":0.03567257,"domain_scores_codex":[0.9988357,0.0001465198,0.0001569337,0.0003875493,0.0002735005,0.0001997251],"domain_scores_gemma":[0.9974528,0.0006768194,0.0002594393,0.0006759934,0.0006248024,0.0003100829],"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":[0.00003182546,0.00001132041,0.0003859589,0.0006055629,0.00001805977,0.00001697623,0.00002466941,0.0001232631,0.0001317234,0.0004362488,0.9967777,0.001436715],"study_design_scores_gemma":[0.00007504399,0.000007716405,0.001894305,0.0002070777,0.00001594856,0.00004134047,0.00006365203,0.0001303576,0.0002035589,0.0007573091,0.9965856,0.00001807317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003934887,0.00002999277,0.00004275828,0.00003292755,0.00001075329,0.000005012615,0.9988557,0.0003822076,0.0006014014],"genre_scores_gemma":[0.0001380419,0.00003342047,0.0001543615,0.0000383871,0.000002940992,0.00003425434,0.9990785,0.0001325599,0.0003874839],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1574112,"threshold_uncertainty_score":0.5265928,"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."}}