{"id":"W4398415192","doi":"10.7910/dvn/pkjufn/pmmeit","title":"FCC2001.123.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":[0.001150944,0.00366307,0.001858691,0.004366715,0.001245621,0.003671246,0.003967484,0.003207739,0.1014759],"category_scores_gemma":[0.005354946,0.0009083257,0.001650257,0.007192858,0.0006195776,0.002015784,0.002318245,0.002063153,0.2056338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810703,"about_ca_system_score_gemma":0.002282641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03474692,"about_ca_topic_score_gemma":0.05702298,"domain_scores_codex":[0.9987207,0.0002232883,0.0001285238,0.0003918843,0.000262689,0.0002729063],"domain_scores_gemma":[0.9979102,0.0003979726,0.0001653773,0.0006940308,0.0005675278,0.0002648106],"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":[0.00003986894,0.00001479061,0.0002075563,0.0002550074,0.00001609902,0.00001042282,0.00000868226,0.0001806243,0.00006133984,0.0002572237,0.9980978,0.0008506555],"study_design_scores_gemma":[0.0003163506,0.00003225804,0.00232991,0.000298695,0.00003111998,0.00005838648,0.00007869238,0.0008509762,0.0004281203,0.001363987,0.9941732,0.00003832817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007844558,0.00004975166,0.00003894494,0.00004517713,0.00003428393,0.000005668203,0.9983959,0.0005689813,0.0007829068],"genre_scores_gemma":[0.0002026358,0.00002796359,0.00009868298,0.00003108312,0.000006659669,0.00001918441,0.999135,0.00007315572,0.0004057079],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8985241,"threshold_uncertainty_score":0.3394708,"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."}}