{"id":"W2115606781","doi":"10.1002/atr.1326","title":"Propensity to participate in a peer‐to‐peer social‐network‐based carpooling system","year":2015,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Mitacs; University of Calgary","keywords":"Public transport; Mixed logit; Transport engineering; Schedule; Logit; Precinct; Travel behavior; Voucher; Sample (material); Logistic regression; Business; Engineering; Computer science; Economics; Geography; Econometrics; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0008355157,0.0001123126,0.0001222657,0.0004132391,0.0006839585,0.0007821748,0.000497373,0.0002789127,0.01188089],"category_scores_gemma":[0.004879753,0.00006851153,0.0002184132,0.0002482322,0.0002573936,0.0005639088,0.0009805748,0.0003094769,0.0006928575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004375809,"about_ca_system_score_gemma":0.0007694227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005267816,"about_ca_topic_score_gemma":0.01041854,"domain_scores_codex":[0.999047,0.0003614804,0.0000513826,0.0001000015,0.0002201189,0.0002200918],"domain_scores_gemma":[0.9965414,0.0007249736,0.0009800369,0.000229617,0.0003692485,0.001154685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001674345,0.001194036,0.9292634,0.0000816258,0.00006785279,0.0003449187,0.003278044,0.0005503972,0.001620018,0.0005635452,0.001641944,0.0612269],"study_design_scores_gemma":[0.00001412184,0.0004257775,0.9833586,0.0000300063,0.00002594249,0.000240848,0.01028938,0.002158727,0.0003695288,0.0002420484,0.002829885,0.0000151478],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973233,0.00002125778,0.0001435203,0.0001355828,0.000004498278,0.00002604915,0.00004684713,0.000006283865,0.002292703],"genre_scores_gemma":[0.9992633,0.00001619883,0.00006461444,0.00001324802,0.000004647251,0.000008063656,0.00002851444,9.081187e-7,0.0006003191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01188089,"threshold_uncertainty_score":0.03974557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0442349330602748,"score_gpt":0.2862422712089927,"score_spread":0.2420073381487179,"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."}}