{"id":"W4398360082","doi":"10.7910/dvn/pkjufn/nqkelp","title":"FCC2001.304.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":[0.001127347,0.003478738,0.001731367,0.004348881,0.001166884,0.003361695,0.003809626,0.00305038,0.1013436],"category_scores_gemma":[0.005674967,0.000879103,0.00155864,0.006923307,0.0006302296,0.001909163,0.002259611,0.001977585,0.1930325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001757363,"about_ca_system_score_gemma":0.002289586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03609603,"about_ca_topic_score_gemma":0.05387212,"domain_scores_codex":[0.9987711,0.0002130593,0.0001144782,0.0003883097,0.0002545538,0.0002585153],"domain_scores_gemma":[0.9977338,0.0004346636,0.0001817716,0.0007708223,0.0005874691,0.0002915058],"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":[0.00003881432,0.00001311239,0.0002206421,0.0002194996,0.00001491395,0.000008885028,0.000007689074,0.0001905651,0.00004894023,0.0002437318,0.998181,0.0008122531],"study_design_scores_gemma":[0.0003284577,0.00003290555,0.002756994,0.0002882203,0.00003207063,0.00005696613,0.00008197992,0.001002293,0.0003971669,0.001541218,0.9934418,0.00003986594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007963019,0.00004435716,0.00003734962,0.00004776839,0.00003188369,0.000005250097,0.9985542,0.0005045013,0.0006950776],"genre_scores_gemma":[0.0002441364,0.00002833116,0.00009969392,0.00003298649,0.000007826935,0.00002017918,0.9990504,0.00007220657,0.0004442089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8986564,"threshold_uncertainty_score":0.3390281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029844955794291,"score_gpt":0.1923888383812169,"score_spread":0.182090388823274,"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."}}