{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004938102,0.00009477943,0.0001156573,0.0002790072,0.0001256454,0.0005018018,0.00007259188,0.00002816844,0.00006756972],"category_scores_gemma":[0.000132891,0.00008319841,0.0000324569,0.0001441334,0.00002401827,0.0007313345,0.0000212903,0.0001860838,0.00000369709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004881866,"about_ca_system_score_gemma":0.0000672972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000047636,"about_ca_topic_score_gemma":0.000008612948,"domain_scores_codex":[0.9992218,0.00001366097,0.000269897,0.0001068584,0.0002846567,0.0001031004],"domain_scores_gemma":[0.9989026,0.00006165645,0.0004818975,0.00002640051,0.0005083203,0.00001917383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001791401,0.0003878903,0.835982,0.0001361304,0.0003226954,0.0001507973,0.0001044605,0.001005612,0.1011064,0.02572887,0.002860621,0.03203538],"study_design_scores_gemma":[0.01676464,0.0004681076,0.4406977,0.001480227,0.0004405781,0.001657398,0.001660179,0.225815,0.008506364,0.02540245,0.2755769,0.00153051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97802,0.00005327192,0.007605321,0.001582028,0.0008460346,0.00005308631,9.913533e-7,0.00003309494,0.0118062],"genre_scores_gemma":[0.9911938,0.00001769423,0.007175109,0.0009631842,0.0005375782,0.000001397969,0.000001793397,0.00001072409,0.00009868114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3952843,"threshold_uncertainty_score":0.4838886,"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."}}