{"id":"W2897519391","doi":"10.2196/formative.9660","title":"Behavior Change for Youth Drivers: Design and Development of a Smartphone-Based App (BackPocketDriver)","year":2018,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Traffic and Road Safety","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"License; Mobile phone; Psychological intervention; Crash; Applied psychology; Smart phone; Phone; Internet privacy; Psychology; Behavior change; Computer security; Engineering; Computer science; Social psychology; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002330553,0.0006894319,0.0003083392,0.0006551423,0.0003774139,0.0009788083,0.001104584,0.0007434265,0.002040215],"category_scores_gemma":[0.003455804,0.0003561869,0.0007244283,0.0001665402,0.0003737438,0.0008830643,0.001084215,0.0006841626,0.0005023173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003767964,"about_ca_system_score_gemma":0.001749588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001583495,"about_ca_topic_score_gemma":0.002917099,"domain_scores_codex":[0.9989657,0.0003803675,0.00009798157,0.0001577034,0.0002769109,0.0001212941],"domain_scores_gemma":[0.9991989,0.00027663,0.00006419875,0.000043976,0.0002400977,0.000176243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008430273,0.006174119,0.03949044,0.005574621,0.0002774138,0.002896262,0.01840946,0.004308119,0.07533193,0.002333823,0.01097782,0.833383],"study_design_scores_gemma":[0.00337892,0.04921459,0.204956,0.006235971,0.002989929,0.01277095,0.02248763,0.083584,0.1317519,0.007174876,0.4744792,0.0009760607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7325041,0.001941323,0.226046,0.002525269,0.000433902,0.01978898,0.0007649128,0.003367247,0.01262825],"genre_scores_gemma":[0.4191813,0.00199663,0.560119,0.0008502722,0.0000559027,0.009352089,0.0005211346,0.0002978267,0.007625928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002330553,"threshold_uncertainty_score":0.01232529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1529571190863533,"score_gpt":0.359445187468345,"score_spread":0.2064880683819917,"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."}}