{"id":"W4398452820","doi":"10.7910/dvn/pkjufn/nhfq7f","title":"FCC2003.226.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Ran; Environmental science; Computer science; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001398742,0.003045793,0.001782441,0.004740194,0.001164072,0.003900002,0.004137448,0.003073039,0.1703099],"category_scores_gemma":[0.008085416,0.0009411509,0.001549478,0.008281731,0.0006709012,0.002340212,0.002487826,0.001996922,0.2463874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002150571,"about_ca_system_score_gemma":0.002612324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04438742,"about_ca_topic_score_gemma":0.06698012,"domain_scores_codex":[0.9987011,0.0002701566,0.000124714,0.0003867908,0.000254599,0.0002625526],"domain_scores_gemma":[0.9970118,0.0006802151,0.00023383,0.0009052093,0.0008258169,0.0003432221],"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":[0.00002879813,0.00000774505,0.0001432267,0.0002289361,0.00001257678,0.000006055615,0.000007618614,0.0001169472,0.00003284254,0.0002695775,0.9984714,0.0006742313],"study_design_scores_gemma":[0.000252168,0.0000199998,0.001577322,0.0002808245,0.00002483005,0.00003359964,0.00006208872,0.0005004544,0.0002689239,0.001486419,0.995462,0.00003140693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004658053,0.00004504255,0.00003207248,0.00006488942,0.00002742949,0.000004609995,0.9985488,0.000454452,0.0007761908],"genre_scores_gemma":[0.0002283394,0.00003558019,0.0001093923,0.00005348059,0.000009460596,0.00002659781,0.9987796,0.0001276446,0.0006299306],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8296901,"threshold_uncertainty_score":0.5697435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473971362051805,"score_gpt":0.255161606689755,"score_spread":0.230421893069237,"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."}}