{"id":"W6962182464","doi":"10.15468/dl.nqlisc","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Scale (ratio); Order (exchange)","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":[0.0009704974,0.001985628,0.001638361,0.005058086,0.0009531275,0.002619863,0.002966344,0.00219487,0.1561199],"category_scores_gemma":[0.006080971,0.0008734779,0.001172842,0.009945246,0.0004307936,0.002307945,0.002581259,0.002036572,0.2143142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519427,"about_ca_system_score_gemma":0.002276011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01911491,"about_ca_topic_score_gemma":0.03242367,"domain_scores_codex":[0.9990091,0.0001298288,0.0001247871,0.0003513253,0.0002182785,0.0001665352],"domain_scores_gemma":[0.9976689,0.0006460148,0.0002277394,0.0006175227,0.0005565006,0.0002832618],"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":[0.00002889868,0.00001179567,0.0003988676,0.0005436138,0.00001664948,0.00001504605,0.00002278352,0.0001253022,0.0001048368,0.0003683834,0.9970157,0.001348124],"study_design_scores_gemma":[0.00008131527,0.000008425308,0.001939072,0.0002012229,0.00001581642,0.00003850436,0.00006783476,0.0001637252,0.0001816336,0.0007862829,0.9964991,0.00001703944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004357477,0.00003084997,0.00004340791,0.00003430382,0.00001130888,0.000005092238,0.9988455,0.0003865343,0.0005994415],"genre_scores_gemma":[0.0001589587,0.00003201359,0.0001760566,0.00004042434,0.000003346503,0.0000368755,0.9990125,0.0001312327,0.00040866],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8438801,"threshold_uncertainty_score":0.5222732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}