{"id":"W4398309011","doi":"10.7910/dvn/pkjufn/jrfcna","title":"FCC2001.187.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":[0.001044293,0.003501921,0.001753734,0.004462886,0.001203736,0.003467733,0.003745766,0.003108565,0.1078126],"category_scores_gemma":[0.005331836,0.0009223902,0.001569412,0.007203712,0.0006321968,0.001924887,0.002240828,0.001984267,0.2036684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001804398,"about_ca_system_score_gemma":0.00232436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03677007,"about_ca_topic_score_gemma":0.05536224,"domain_scores_codex":[0.9988411,0.0001949907,0.0001107471,0.0003704472,0.0002366319,0.0002461592],"domain_scores_gemma":[0.9979558,0.0004058456,0.0001601071,0.0006748723,0.0005383441,0.000264977],"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":[0.00003659941,0.00001297663,0.0002084732,0.000230671,0.00001483705,0.000009160286,0.000008296301,0.0001850202,0.00005022949,0.0002463723,0.9981559,0.0008414324],"study_design_scores_gemma":[0.0003090783,0.00003046885,0.002491836,0.000281921,0.0000297995,0.00005485993,0.00008045606,0.0008708409,0.0003801329,0.001403819,0.9940287,0.00003800896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007958101,0.00004885979,0.00003675806,0.00004614954,0.00003364601,0.000005209152,0.9984953,0.0005222782,0.0007321355],"genre_scores_gemma":[0.0002332281,0.00003154954,0.0001014583,0.00003368439,0.000007775781,0.00002084102,0.9990308,0.00007784474,0.0004628789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8921874,"threshold_uncertainty_score":0.3606692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028652203682825,"score_gpt":0.1923226118222426,"score_spread":0.1820360897854144,"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."}}