{"id":"W4398440436","doi":"10.7910/dvn/pkjufn/supl7u","title":"FCC2002.319.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":[0.001462436,0.003140505,0.00176454,0.005044742,0.001189405,0.003611796,0.004241487,0.003119887,0.1542478],"category_scores_gemma":[0.008526261,0.0009231476,0.001546079,0.008178215,0.0007067713,0.002253631,0.002412975,0.0020433,0.2206042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002179468,"about_ca_system_score_gemma":0.002690775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04501403,"about_ca_topic_score_gemma":0.06631009,"domain_scores_codex":[0.99864,0.0002868803,0.0001232971,0.0004129317,0.0002719277,0.00026491],"domain_scores_gemma":[0.996819,0.0007261115,0.0002501003,0.0009581601,0.0008617403,0.0003847496],"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":[0.00002845805,0.000008475735,0.0001489358,0.0002185468,0.00001269671,0.000005937276,0.000007435132,0.0001244308,0.00003241579,0.0002416149,0.9984883,0.0006828144],"study_design_scores_gemma":[0.0002865481,0.00002415704,0.001813193,0.0002933286,0.00002911795,0.00003856439,0.00007029781,0.0006454879,0.0003007484,0.001561352,0.9949025,0.00003467806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005990155,0.00005100319,0.00003434445,0.00007518972,0.00002961546,0.000005360487,0.9985494,0.0004604892,0.0007345184],"genre_scores_gemma":[0.0002604092,0.00003719098,0.0001162324,0.00005598458,0.00001032444,0.00002943079,0.9987417,0.000116574,0.0006321666],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8457522,"threshold_uncertainty_score":0.5160102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500825657205191,"score_gpt":0.253556626914746,"score_spread":0.2285483703426941,"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."}}