{"id":"W4398293583","doi":"10.7910/dvn/pkjufn/qfnsf9","title":"FCC2001.251.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Transport Systems and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Ran; 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":[0.001147288,0.003559333,0.001760578,0.004193955,0.001217713,0.003495593,0.003932952,0.003155635,0.09722441],"category_scores_gemma":[0.005332653,0.0008833101,0.001643294,0.006497605,0.0006119708,0.001975825,0.002317397,0.002032758,0.1931972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752873,"about_ca_system_score_gemma":0.002220245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03435854,"about_ca_topic_score_gemma":0.05356425,"domain_scores_codex":[0.9987581,0.0002167254,0.0001202197,0.000388428,0.0002499633,0.0002665786],"domain_scores_gemma":[0.997894,0.0004026167,0.000166002,0.0007226713,0.0005494294,0.0002653351],"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":[0.00004261534,0.00001522579,0.0002220364,0.0002413469,0.00001654447,0.00001017862,0.000008513847,0.0001971626,0.00005949229,0.0002811213,0.9980318,0.0008739561],"study_design_scores_gemma":[0.0003369304,0.00003382674,0.002574475,0.000299211,0.00003252372,0.00005965961,0.00008001402,0.0009561583,0.0004343335,0.00153971,0.9936128,0.00004025695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007991763,0.00004490319,0.00003998342,0.00004618414,0.00003367745,0.000005543152,0.9984173,0.0005495609,0.0007829741],"genre_scores_gemma":[0.000225087,0.00002662379,0.0001041877,0.00003208782,0.000007125571,0.00001947833,0.9990939,0.00007125452,0.0004202182],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9027756,"threshold_uncertainty_score":0.3252481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028644552546442,"score_gpt":0.1922603851564491,"score_spread":0.1819739396309847,"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."}}