{"id":"W4398329336","doi":"10.7910/dvn/pkjufn/xpwvnp","title":"FCC2001.349.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":[0.001078791,0.003309331,0.001659291,0.004596974,0.001082018,0.003339325,0.003618554,0.002863667,0.1055644],"category_scores_gemma":[0.005744045,0.0008685415,0.001528318,0.008029024,0.0005658288,0.00186099,0.002107529,0.00188258,0.1827745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001760328,"about_ca_system_score_gemma":0.002316444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04015943,"about_ca_topic_score_gemma":0.05732562,"domain_scores_codex":[0.9988292,0.0001952653,0.0001164792,0.0003577606,0.0002463354,0.0002550195],"domain_scores_gemma":[0.9976666,0.0004669745,0.000198852,0.0007341077,0.0006375533,0.0002958681],"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":[0.00003594757,0.00001151491,0.0002301598,0.0002223061,0.0000144961,0.00000821279,0.000007642863,0.000197337,0.00004225641,0.0002595171,0.9981745,0.0007961252],"study_design_scores_gemma":[0.0002994701,0.00002756312,0.002624387,0.0002828262,0.00002899085,0.00004646256,0.00007613048,0.0008714327,0.0003313176,0.001415805,0.9939598,0.00003575239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006505578,0.00004002581,0.00002879609,0.00004191402,0.00002563719,0.000004199761,0.998782,0.0003824069,0.0006300475],"genre_scores_gemma":[0.0002384587,0.00003099191,0.00008641181,0.0000310103,0.00000741366,0.00001839345,0.9990897,0.00006715308,0.0004303467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8944356,"threshold_uncertainty_score":0.3531482,"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."}}