{"id":"W6924519445","doi":"10.15468/dl.muv4ax","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Feature (linguistics); China","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":[0.0007839238,0.002991508,0.002199397,0.007708578,0.001214128,0.003556762,0.002299692,0.002569427,0.2633075],"category_scores_gemma":[0.006203035,0.0009755981,0.002029333,0.01117258,0.0004169581,0.003519451,0.003415703,0.002051401,0.3205831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001422761,"about_ca_system_score_gemma":0.002953371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02450364,"about_ca_topic_score_gemma":0.0371813,"domain_scores_codex":[0.9987754,0.0001421657,0.000188529,0.0004137121,0.000259382,0.0002207268],"domain_scores_gemma":[0.9975131,0.0007389333,0.0002013525,0.0005858503,0.0006017672,0.000359049],"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":[0.00006012334,0.000020937,0.0003986623,0.0008342839,0.00001955392,0.00003204053,0.00003599213,0.0001994879,0.0001237853,0.0005281641,0.9936687,0.004078113],"study_design_scores_gemma":[0.0000919847,0.00001537933,0.00134657,0.0002404259,0.00002013322,0.00006046915,0.0001081068,0.0004087182,0.0001802633,0.001402098,0.9960994,0.0000265793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009339187,0.00009833603,0.0001306679,0.00007809079,0.00004114805,0.00001628475,0.9957142,0.001785491,0.002042263],"genre_scores_gemma":[0.0003230399,0.0001195462,0.0006444356,0.0001104817,0.00001187294,0.00006540486,0.9969743,0.0004018992,0.001349093],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7366925,"threshold_uncertainty_score":0.8808514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096736587246872,"score_gpt":0.2202993381119701,"score_spread":0.2093319722395014,"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."}}