{"id":"W6960443492","doi":"10.1371/journal.pone.0192454.g004","title":"Winnipeg transport network with 20 candidate road projects and hourly traffic volume.","year":2018,"lang":"en","type":"other","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport network; Rail network; Flow network; Public transport; Road transport; Passenger transport","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004315978,0.0009782624,0.000452864,0.0007093087,0.001563812,0.001560975,0.001053925,0.0007552361,0.4681276],"category_scores_gemma":[0.001442119,0.0004934298,0.0003242287,0.001121836,0.0003666415,0.0007393619,0.001260601,0.0007960845,0.1736677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004485121,"about_ca_system_score_gemma":0.009453054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4772747,"about_ca_topic_score_gemma":0.697364,"domain_scores_codex":[0.9995993,0.00004558691,0.00001364836,0.0001044803,0.0001162681,0.0001206426],"domain_scores_gemma":[0.9991948,0.00004493204,0.00003543627,0.00004700232,0.0003007702,0.0003769616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002104212,0.00004265314,0.0008598093,0.00009295359,0.000008648918,0.0001093081,0.00005275506,0.0004808876,0.0004687294,0.002834739,0.9581121,0.03672697],"study_design_scores_gemma":[0.00003620725,0.00001565593,0.002270912,0.00005016286,0.000004360767,0.00003285816,0.00008639511,0.0005557243,0.0002209605,0.0003215992,0.9963973,0.000007871058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007029119,0.0008328028,0.004286987,0.003796072,0.002282964,0.0007572306,0.1301729,0.001623737,0.8492183],"genre_scores_gemma":[0.01781975,0.0006874155,0.003986661,0.0004583793,0.0001017413,0.0001997773,0.03067852,0.001410585,0.9446572],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5227253,"threshold_uncertainty_score":0.9489932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859284961684683,"score_gpt":0.2003235363084392,"score_spread":0.1817306866915924,"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."}}