{"id":"W2159331613","doi":"10.1111/1468-2389.00238","title":"Nothing but ‘Net? Corporate Image and Web‐Based Testing","year":2003,"lang":"en","type":"article","venue":"International Journal of Selection and Assessment","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"The Internet; Selection (genetic algorithm); Perception; Sample (material); Nothing; Business; Internet users; Internet privacy; Marketing; Computer science; World Wide Web; Psychology; Artificial intelligence","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":[0.001575952,0.00007758626,0.00007137455,0.0005473626,0.0003273065,0.001628221,0.0001704832,0.0003213927,0.00740355],"category_scores_gemma":[0.008797244,0.00005369372,0.00008840588,0.0003789226,0.001015431,0.001415359,0.0004918121,0.000411769,0.0004505554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003506274,"about_ca_system_score_gemma":0.0001998068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008555007,"about_ca_topic_score_gemma":0.001357601,"domain_scores_codex":[0.9990927,0.0004207392,0.00002923523,0.00004159526,0.0003212199,0.00009453969],"domain_scores_gemma":[0.9932591,0.003075984,0.002023299,0.000239758,0.0005025022,0.0008994016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001848095,0.0004906296,0.838882,0.00003920355,0.00002365908,0.0003401333,0.005116939,0.0001247626,0.0008952178,0.007772592,0.002908627,0.1432215],"study_design_scores_gemma":[0.00001315679,0.0003536534,0.967677,0.00005600388,0.00002399896,0.0009401644,0.01380516,0.0009523973,0.001012021,0.003497221,0.01165207,0.00001712311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647868,0.0001979281,0.0004272207,0.002009251,0.0000261677,0.00000712789,0.00001652136,0.000009575758,0.03251936],"genre_scores_gemma":[0.9981341,0.0000509688,0.0001399819,0.000107175,0.00001498913,0.000001604451,0.000006367519,0.000003300361,0.001541634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00740355,"threshold_uncertainty_score":0.02476734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04163535653438427,"score_gpt":0.2893956502525034,"score_spread":0.2477602937181191,"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."}}