{"id":"W2971289151","doi":"10.3968/11215","title":"Mobile Phone Addiction and Career Preparation in College Students","year":2019,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile phone; Psychology; Addiction; Advertising; Business; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006652441,0.00005515035,0.00009662041,0.0001662558,0.0003105996,0.00004417928,0.0003011953,0.00009318183,0.0002689243],"category_scores_gemma":[0.00003901663,0.00006126829,0.00001467233,0.0009333098,0.0006584754,0.000469968,0.00005287987,0.00007446852,0.00003282756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003364104,"about_ca_system_score_gemma":0.0005423273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006658348,"about_ca_topic_score_gemma":0.00004834518,"domain_scores_codex":[0.9988039,0.00005473521,0.0001486257,0.0001986561,0.0005942822,0.0001998733],"domain_scores_gemma":[0.9995712,0.0000136145,0.0001173155,0.00009078011,0.0001525239,0.00005453287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000052449,0.0009417299,0.7784395,0.00001952692,0.000008272874,2.245829e-7,0.04959367,0.000002093605,0.01226734,0.1440801,0.006263805,0.00833124],"study_design_scores_gemma":[0.0002521813,0.00005244008,0.9749454,0.00002166871,0.000003572047,1.239383e-7,0.005860042,0.000001394823,0.0007283635,0.0004846335,0.0175734,0.00007683288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9234481,0.0000720189,5.551786e-7,0.0001740712,0.0008943219,0.0004042352,0.000003033859,0.0000289593,0.07497469],"genre_scores_gemma":[0.9849532,0.00002080661,0.00005981103,0.00008427473,0.00006725732,0.00002833064,0.00000131778,0.000003354839,0.01478161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1965058,"threshold_uncertainty_score":0.2944532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352563860305278,"score_gpt":0.3624049890690461,"score_spread":0.3488793504659933,"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."}}