{"id":"W4404716966","doi":"10.1080/00220388.2024.2429196","title":"Information Campaigns and Migration Perceptions","year":2024,"lang":"en","type":"article","venue":"The Journal of Development Studies","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Perception; Internet privacy; Business; Computer science; Data science; Geography; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001780879,0.0003363909,0.0002313751,0.001120931,0.0009656483,0.001510524,0.0003059588,0.0007098875,0.006107546],"category_scores_gemma":[0.01041075,0.0002079414,0.0004256813,0.0007751505,0.0009968227,0.0007974777,0.0009889948,0.001439114,0.0004521697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008326859,"about_ca_system_score_gemma":0.0009520316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006242735,"about_ca_topic_score_gemma":0.007098731,"domain_scores_codex":[0.9986338,0.0007055962,0.00007562376,0.00008386825,0.0002219476,0.0002792664],"domain_scores_gemma":[0.9831873,0.008527183,0.005690158,0.0004242891,0.0007394875,0.001431558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003264616,0.003110529,0.9394377,0.0003016921,0.0001296983,0.0002305542,0.02200552,0.0002185187,0.0008245772,0.001292566,0.0005169992,0.03160525],"study_design_scores_gemma":[0.00003402857,0.0008450316,0.9637105,0.0001675731,0.0001196429,0.0001250724,0.03108038,0.0003297848,0.0006023052,0.0004239703,0.00253449,0.00002721061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946387,0.000155895,0.00006056931,0.0003669776,0.000007832403,0.00002149997,0.00003641859,0.000002626613,0.004709463],"genre_scores_gemma":[0.999078,0.0001446519,0.00007193686,0.00007397609,0.000005992438,0.00001419932,0.00002310644,8.96045e-7,0.0005872805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006242735,"threshold_uncertainty_score":0.02043176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662968653166104,"score_gpt":0.3285221164167057,"score_spread":0.3018924298850447,"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."}}