{"id":"W6887100564","doi":"10.15468/dl.p3djuf","title":"Occurrence Download","year":2021,"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; Confidentiality","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":[0.001060226,0.001954495,0.001745652,0.005707628,0.001010825,0.002675609,0.002848142,0.002059105,0.1835775],"category_scores_gemma":[0.006551621,0.000938813,0.001209218,0.01089917,0.000469821,0.002321947,0.002774127,0.001962774,0.2418218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594802,"about_ca_system_score_gemma":0.002452772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02061619,"about_ca_topic_score_gemma":0.0336144,"domain_scores_codex":[0.9989122,0.0001465826,0.0001423824,0.0003675393,0.0002442067,0.0001870547],"domain_scores_gemma":[0.9974021,0.0007357758,0.0002499742,0.0006491094,0.0006624329,0.0003007673],"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":[0.00003037383,0.000009973076,0.000343317,0.0006754457,0.00001682008,0.00001452158,0.00002274114,0.0001094463,0.0001239443,0.0003894955,0.9968605,0.001403528],"study_design_scores_gemma":[0.00007425756,0.000007859504,0.001730997,0.0002251597,0.00001613348,0.00003491852,0.00006317381,0.0001114974,0.000173808,0.0007454564,0.9967998,0.00001695221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003280717,0.00002966163,0.00003652265,0.00003081554,0.00001013057,0.000004806031,0.9989458,0.0003182187,0.0005913377],"genre_scores_gemma":[0.0001472994,0.00003837623,0.0001625666,0.0000462487,0.000003463354,0.00004028424,0.9989893,0.0001459691,0.0004264734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8164225,"threshold_uncertainty_score":0.6141279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}