{"id":"W2992618179","doi":"","title":"A Countermeasure Research on Guiding the Media Behaviors of the Left-Behind Children in Rural Areas","year":2015,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Media, Communication, and Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Left behind; Countermeasure; Rural area; Sociology; Psychology; Public relations; Advertising; Political science; Engineering; Mental health; Business","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.006369209,0.0001084329,0.0001346991,0.00007552619,0.001736628,0.0003158352,0.002666303,0.0001394962,0.00002449844],"category_scores_gemma":[0.003197872,0.00006532641,0.00006720635,0.0004264945,0.002103924,0.0005323199,0.0002825113,0.0005331771,0.00002431833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004696648,"about_ca_system_score_gemma":0.0004205585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01541465,"about_ca_topic_score_gemma":0.02622546,"domain_scores_codex":[0.9960294,0.002169566,0.0003712155,0.0001388908,0.0009879302,0.0003029497],"domain_scores_gemma":[0.9961615,0.0006815763,0.0002181387,0.00152327,0.001318514,0.00009696402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004705826,0.000194799,0.586803,0.000004764696,0.00001163784,5.403772e-8,0.3903205,0.00005338749,0.0003290804,0.01180727,0.005614797,0.004813616],"study_design_scores_gemma":[0.0004027609,0.00002672548,0.9128723,0.0001649843,0.00001272219,0.000002083767,0.0747019,0.00002861293,0.0004630043,0.004083393,0.007108635,0.0001328777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779466,0.0008521102,4.31925e-7,0.01138789,0.0002678286,0.000520189,0.00000628,0.00002665607,0.008992026],"genre_scores_gemma":[0.9985183,0.0005936719,0.0000389498,0.0001079819,0.000130176,0.00005194083,0.00007689567,0.000009587284,0.000472444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3260693,"threshold_uncertainty_score":0.999563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1991791631979481,"score_gpt":0.4666645533296737,"score_spread":0.2674853901317256,"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."}}