{"id":"W4244611713","doi":"10.1016/s1365-6937(14)70020-6","title":"GLV Inc, Canada","year":2014,"lang":"en","type":"article","venue":"Filtration Industry Analyst","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005717266,0.00009251363,0.0001018443,0.00003339908,0.00005094768,0.00001893093,0.00008520592,0.0001656249,0.0005403354],"category_scores_gemma":[0.00001584919,0.00009437044,0.00001963328,0.0001633525,0.00001704519,0.00006013969,0.000002196169,0.0003144369,0.00002227873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005958724,"about_ca_system_score_gemma":0.00005993771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02952931,"about_ca_topic_score_gemma":0.2298124,"domain_scores_codex":[0.9994561,0.00001190373,0.0001747083,0.0000891266,0.0001309177,0.0001372156],"domain_scores_gemma":[0.9996917,0.00002175616,0.0000184285,0.0001566347,0.00002855563,0.00008296733],"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":[0.000006958977,0.00004036635,0.1353916,0.0001112739,0.0002359744,0.0000416909,0.0001237355,0.3433182,0.002460848,0.01804659,0.4966595,0.003563351],"study_design_scores_gemma":[0.0004152519,0.0000299642,0.08394636,0.00002620662,0.0001145197,0.00001129711,0.000103085,0.295312,0.005931068,0.0002719465,0.6131905,0.000647705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3856266,0.0001888321,0.185776,0.0007644848,0.002597055,0.0002606144,0.0003015612,0.0009795707,0.4235053],"genre_scores_gemma":[0.998577,0.000002519299,0.0001548362,0.0001395155,0.0002729906,0.000003995509,0.0001632555,0.00001134749,0.0006745316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6129504,"threshold_uncertainty_score":0.9769331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071047161500371,"score_gpt":0.1671864273746237,"score_spread":0.15647595575962,"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."}}