{"id":"W7099514925","doi":"","title":"Analysis (TRISTAN VI)","year":2007,"lang":"en","type":"article","venue":"","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mode (computer interface); Government (linguistics); Greenhouse gas; Preference; Mode choice; Public transport; Revealed preference","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":["insufficient_payload"],"category_scores_codex":[0.003181679,0.001001346,0.0007734778,0.003693795,0.001722685,0.003240413,0.001445074,0.0005692043,0.5523271],"category_scores_gemma":[0.0134976,0.0007267614,0.0007693868,0.0058716,0.000780388,0.00179854,0.001939582,0.0014713,0.170795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003113675,"about_ca_system_score_gemma":0.008100393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03473065,"about_ca_topic_score_gemma":0.05465849,"domain_scores_codex":[0.996935,0.000723082,0.0002407017,0.000632206,0.001155311,0.0003137771],"domain_scores_gemma":[0.9908338,0.001403469,0.0003652818,0.001461265,0.005625837,0.0003102614],"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":[0.0001321354,0.00004192783,0.001384321,0.0003671924,0.00003783838,0.0001022228,0.0004994981,0.0003153729,0.000520144,0.02627454,0.8111623,0.1591624],"study_design_scores_gemma":[0.000020924,0.00002290394,0.003218602,0.0002069975,0.00001682474,0.00007166856,0.0004156623,0.0006991332,0.0004472325,0.003840575,0.9910251,0.00001445685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006430343,0.001387901,0.03871924,0.003762797,0.002864139,0.001956075,0.08360519,0.009422588,0.8518516],"genre_scores_gemma":[0.03144762,0.001739259,0.05206321,0.001454179,0.0004068212,0.004457462,0.03303718,0.004749065,0.8706451],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4476729,"threshold_uncertainty_score":0.6385511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01221144082607622,"score_gpt":0.3037727944198579,"score_spread":0.2915613535937817,"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."}}