{"id":"W6962044469","doi":"10.15468/dl.yjs9sv","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":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","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":[0.001071535,0.002110637,0.001716353,0.005514266,0.001017324,0.002870412,0.003207039,0.002067212,0.1550554],"category_scores_gemma":[0.006376407,0.0009521468,0.00124708,0.01110953,0.0004603833,0.002525109,0.002746385,0.002142713,0.2294087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163101,"about_ca_system_score_gemma":0.002430276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02148084,"about_ca_topic_score_gemma":0.03306165,"domain_scores_codex":[0.9988714,0.0001491278,0.0001393252,0.000398131,0.0002540232,0.0001880174],"domain_scores_gemma":[0.9974867,0.0006853896,0.0002364788,0.0006886025,0.0006095661,0.0002931943],"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":[0.0000262325,0.0000102008,0.0003330149,0.00047127,0.00001475567,0.00001393628,0.00002199066,0.0001132177,0.00009202088,0.0003708346,0.997243,0.001289462],"study_design_scores_gemma":[0.0000691559,0.00000712899,0.001622129,0.000179341,0.00001437318,0.00003603232,0.00006830857,0.0001520759,0.0001732447,0.0008272518,0.9968343,0.00001650341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000040385,0.00002951923,0.00004779519,0.00003649121,0.00001183839,0.000005086978,0.9987352,0.0004477946,0.0006459378],"genre_scores_gemma":[0.0001420636,0.00003233713,0.0001748595,0.00003759492,0.00000322431,0.0000356702,0.9989944,0.0001588934,0.0004209685],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8449446,"threshold_uncertainty_score":0.5187119,"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."}}