{"id":"W1552936668","doi":"10.18757/ejtir.2002.2.1.3680","title":"Conditional Choice Modelling of Time Allocation Among Spouses in Transport Settings","year":2001,"lang":"en","type":"article","venue":"European journal of transport and infrastructure research","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Spouse; Outcome (game theory); Sample (material); Set (abstract data type); Econometrics; Function (biology); Conditional expectation; Suite; Conditional probability; Statistics; Computer science; Psychology; Mathematics; Mathematical economics; Sociology; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.005502384,0.000792102,0.001564865,0.0009072155,0.0006639352,0.002177263,0.002638903,0.001637977,0.007923663],"category_scores_gemma":[0.0142691,0.0007623027,0.001735189,0.001304005,0.00128224,0.002129279,0.001368665,0.00186564,0.0007356037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001694265,"about_ca_system_score_gemma":0.00117092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02213291,"about_ca_topic_score_gemma":0.01416094,"domain_scores_codex":[0.9973301,0.001605404,0.00009241544,0.0004158955,0.0001785959,0.0003777177],"domain_scores_gemma":[0.9871278,0.01051584,0.0008235998,0.0004446618,0.000381948,0.0007061805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004658551,0.000242632,0.01484598,0.0000548469,0.0001512798,0.0002810456,0.0003662566,0.9305134,0.0003185651,0.04416129,0.0004275911,0.008171272],"study_design_scores_gemma":[0.00002655961,0.00004701642,0.001446329,0.000005716165,0.0000177672,0.00002327348,0.00004557752,0.9871776,0.0000662292,0.01094716,0.0001837384,0.00001299182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4932569,0.0003051907,0.5012637,0.0006664446,0.00007562773,0.0001907103,0.001223722,0.0001837045,0.002834011],"genre_scores_gemma":[0.9709684,0.0001942851,0.02280585,0.0000485407,0.00003834492,0.0002580453,0.0008486573,0.00002518071,0.004812705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02213291,"threshold_uncertainty_score":0.04400814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03831156940318819,"score_gpt":0.3109756411665835,"score_spread":0.2726640717633954,"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."}}