{"id":"W7079201801","doi":"","title":"Understanding Gap Crossing Decisions Across the Lifespan","year":2025,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Intersection (aeronautics); Closing (real estate); Pedestrian crossing; Poison control; Human factors and ergonomics; Falling (accident)","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":[],"consensus_categories":[],"category_scores_codex":[0.0003791579,0.0001637112,0.0001445703,0.0004467065,0.0001325424,0.0005485318,0.0001666394,0.0003346348,0.0007833985],"category_scores_gemma":[0.001755015,0.0001697087,0.0001204264,0.0001856568,0.0002267567,0.000539374,0.0003629217,0.0002180357,0.0001104571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001781374,"about_ca_system_score_gemma":0.0002209442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009255622,"about_ca_topic_score_gemma":0.01753722,"domain_scores_codex":[0.9999129,0.00001446563,0.000005568609,0.00003607397,0.00001484979,0.00001613634],"domain_scores_gemma":[0.9996562,0.00009058742,0.0001163463,0.00002465221,0.00007453778,0.00003773207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002524442,0.0001307706,0.8961401,0.0001597012,0.00008138332,0.0002921904,0.01259331,0.0009616071,0.0168026,0.000511976,0.0006996578,0.07137423],"study_design_scores_gemma":[0.000001895011,0.0000624216,0.997117,0.0000182432,0.00001319703,0.00009063851,0.00131697,0.0003312587,0.0002581041,0.0003377848,0.0004480909,0.000004409932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983858,0.0003303465,0.0003766172,0.00005704389,0.000001690066,0.000004332411,0.0001384206,0.000004292846,0.0007015452],"genre_scores_gemma":[0.9988574,0.0003095282,0.0004609586,0.00001938886,0.000001905941,0.000006108958,0.0001200762,0.000001331213,0.0002232339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009255622,"threshold_uncertainty_score":0.01840347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06735403657873967,"score_gpt":0.2676092361316451,"score_spread":0.2002551995529054,"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."}}