{"id":"W6924551004","doi":"10.15468/dl.nxjiuj","title":"Occurrence Download","year":2015,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006318444,0.0003872833,0.000404799,0.0001177573,0.0003014077,0.0003430583,0.001009753,0.0003809223,0.003272592],"category_scores_gemma":[0.0001530756,0.0003952008,0.0001464737,0.0003575013,0.0002303749,0.001726869,0.0006782191,0.0002860476,0.5641456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006074663,"about_ca_system_score_gemma":0.0003136065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007288618,"about_ca_topic_score_gemma":0.00001631006,"domain_scores_codex":[0.9976361,0.000104405,0.0005267332,0.0003361808,0.000924064,0.000472494],"domain_scores_gemma":[0.997924,0.00001890324,0.0004667354,0.0007739042,0.0004975997,0.0003188604],"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":[0.00006726236,0.00003419779,0.0002599158,0.0001361797,0.00001204809,0.000003771721,0.00006556112,0.00001454752,0.00001172041,5.423527e-8,0.9991894,0.0002053434],"study_design_scores_gemma":[0.0004097789,0.00005648218,0.00001184184,0.00000489752,0.00005763095,0.00001372991,0.00008452263,9.52593e-8,0.0002525679,0.000001591936,0.9986962,0.0004106384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00310209,0.00003438608,0.000003606008,0.00007718994,0.001467642,0.0003876489,0.9945267,0.0001963651,0.0002043513],"genre_scores_gemma":[0.00002519122,0.00001067077,0.000007627939,0.0003319512,0.00000302864,0.000004469923,0.9996169,2.171612e-8,1.384086e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.560873,"threshold_uncertainty_score":0.99985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851684128666582,"score_gpt":0.2330768582905734,"score_spread":0.2145600170039076,"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."}}