{"id":"W4398372990","doi":"10.7910/dvn/pkjufn/ghrn3k","title":"FCC2001.171.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":[0.001078006,0.00363804,0.00178498,0.004287927,0.001227059,0.003649725,0.003835724,0.003194113,0.1062845],"category_scores_gemma":[0.005164383,0.0009312069,0.001650853,0.006670669,0.0006292363,0.001948965,0.00232784,0.002077035,0.2055119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001816294,"about_ca_system_score_gemma":0.002314447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03658935,"about_ca_topic_score_gemma":0.05679986,"domain_scores_codex":[0.9988243,0.0001955838,0.0001141048,0.0003726134,0.0002364991,0.0002569466],"domain_scores_gemma":[0.9979652,0.0004007178,0.000158835,0.0006794276,0.0005272372,0.00026861],"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":[0.00004127422,0.00001476883,0.0002094691,0.0002501193,0.00001601161,0.000009791659,0.00000886403,0.0001785018,0.00005854463,0.0002687939,0.9981323,0.0008117981],"study_design_scores_gemma":[0.0003618236,0.00003294903,0.002516977,0.0003011747,0.00003228346,0.00005560364,0.00008377766,0.0008346037,0.0004198925,0.001448187,0.9938737,0.00003912133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007223541,0.000042995,0.00003369667,0.00004304004,0.00003228516,0.000005096187,0.9985415,0.0005135172,0.0007156307],"genre_scores_gemma":[0.0002141693,0.00002817172,0.00009826633,0.00003233321,0.000007059714,0.00001893056,0.9990964,0.00007631686,0.0004283974],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8937155,"threshold_uncertainty_score":0.3555571,"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."}}