{"id":"W7097912497","doi":"","title":"ISSUE HIGHLIGHT","year":2015,"lang":"en","type":"article","venue":"","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognition; Blood alcohol; Eye movement; Law enforcement; Affect (linguistics); Cognitive test; Drunk drivers; Eye tracking; Gaze","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":[0.001321635,0.0009464551,0.000727279,0.001612404,0.001756963,0.006795874,0.002282343,0.004114081,0.7691726],"category_scores_gemma":[0.008240781,0.0003542661,0.0008248672,0.001376432,0.0006680323,0.004373813,0.004121128,0.003015397,0.5959482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001233875,"about_ca_system_score_gemma":0.003322493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001457619,"about_ca_topic_score_gemma":0.002589288,"domain_scores_codex":[0.9984992,0.0002200034,0.00009265074,0.0003098734,0.0006506803,0.0002276125],"domain_scores_gemma":[0.9956202,0.0004688297,0.0002285679,0.0004144893,0.001595916,0.001671972],"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":[0.0000161622,0.00001831508,0.000124073,0.0001293424,0.00000230383,0.00008691849,0.00003453457,0.00001209215,0.00009582494,0.001574886,0.9488459,0.04905975],"study_design_scores_gemma":[0.000003332073,0.00000656423,0.0001435477,0.00007143445,0.000001219729,0.00009509966,0.00004122281,0.00001127508,0.00002798296,0.0004276811,0.9991685,0.00000216133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00079397,0.005228935,0.001730704,0.04279067,0.1022833,0.0003573257,0.004670628,0.002345592,0.8397989],"genre_scores_gemma":[0.003439804,0.004292564,0.0009026427,0.01754616,0.02271866,0.0001389145,0.003139697,0.0008340919,0.9469875],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2308274,"threshold_uncertainty_score":0.3292472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1241806928789253,"score_gpt":0.4588907811596669,"score_spread":0.3347100882807416,"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."}}