{"id":"W6902145047","doi":"10.6084/m9.figshare.7405616.v1","title":"Additional file 2: of Who is in the near market for bicycle sharing? Identifying current, potential, and unlikely users of a public bicycle share program in Vancouver, Canada","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Public transport; Market share; Market research; Postal service","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":[0.0006771914,0.0006381828,0.0009667764,0.002540432,0.002043834,0.001221005,0.00121899,0.0007809291,0.6142234],"category_scores_gemma":[0.01701821,0.0004411396,0.0007834716,0.004580256,0.0002870374,0.001551495,0.0009578409,0.0009418542,0.0532662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003266991,"about_ca_system_score_gemma":0.004934786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5923697,"about_ca_topic_score_gemma":0.6708905,"domain_scores_codex":[0.9994465,0.00007255797,0.00009098829,0.0000978688,0.0001348552,0.0001571898],"domain_scores_gemma":[0.9918754,0.003598132,0.0006940791,0.0003113417,0.003162937,0.0003582285],"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":[0.0000854879,0.0000681348,0.01580294,0.00109107,0.00002428905,0.0000590989,0.0003292914,0.0002673976,0.00002181353,0.0005598988,0.9752344,0.006456204],"study_design_scores_gemma":[0.00211373,0.0001568464,0.3602331,0.008112689,0.0002747051,0.0006267535,0.009375763,0.003320984,0.0005046875,0.005270736,0.6097797,0.000230409],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001277419,0.000025446,0.0001016946,0.0001604657,0.00001381957,0.0001248228,0.9955591,0.00004282282,0.002694401],"genre_scores_gemma":[0.04842617,0.0004291164,0.002259088,0.0007046182,0.00007197266,0.005371308,0.9157584,0.0002113235,0.026768],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6142234,"threshold_uncertainty_score":0.8200617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05819327816022751,"score_gpt":0.3149892774465781,"score_spread":0.2567959992863506,"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."}}