{"id":"W2186402515","doi":"","title":"ATTRACTING AND RETAINING ACADEMIC TALENT IN THE CITY OF KINGSTON, ONTARIO","year":2009,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociology; Business; Public relations; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002190144,0.00006892446,0.0001045609,0.00009765958,0.0002495697,0.00003224898,0.0002477541,0.0001079592,0.0001079015],"category_scores_gemma":[0.00004469464,0.00006571464,0.00003282926,0.0003768149,0.0001212999,0.000869316,0.00003827512,0.0003581924,9.267094e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008457532,"about_ca_system_score_gemma":0.0001943161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08264177,"about_ca_topic_score_gemma":0.06187577,"domain_scores_codex":[0.9992307,0.0001806028,0.00008838871,0.0001413646,0.0001896404,0.0001692963],"domain_scores_gemma":[0.9996032,0.0001163583,0.0001098475,0.00009319762,0.00001745891,0.00005994521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003525955,0.00003339037,0.7768101,0.000004815288,0.000005711465,0.0000215288,0.1438582,0.00002708062,0.000008650458,0.07448053,0.003859292,0.0008553932],"study_design_scores_gemma":[0.0003236959,0.0000622912,0.7048068,0.00006039862,0.00001805433,2.086543e-7,0.06346092,0.00001777176,0.00006405794,0.001104335,0.2298997,0.0001817978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9079268,0.000007628455,0.00003700351,0.0673704,0.00002165036,0.0001115444,0.000001966386,0.00003478171,0.02448821],"genre_scores_gemma":[0.983228,0.0001568369,0.0003287601,0.00041828,0.00002173153,6.682478e-8,0.000003239948,0.000002545313,0.01584053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2260404,"threshold_uncertainty_score":0.9552426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636997724343765,"score_gpt":0.2345685144234601,"score_spread":0.2181985371800224,"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."}}