{"id":"W4399797930","doi":"10.55016/ojs/ajer.v58i3.55627","title":"Evaluating Prospects: The Criteria Used to Hire New Teachers","year":2012,"lang":"en","type":"article","venue":"Alberta Journal of Educational Research","topic":"Teacher Education and Leadership Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Scrutiny; Likert scale; Psychology; Selection (genetic algorithm); Process (computing); Scale (ratio); Personnel selection; Yield (engineering); Medical education; Mathematics education; Social psychology; Political science; Law; Statistics; Medicine; Computer science; Developmental psychology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.03209905,0.000431878,0.0005267288,0.005130588,0.004184445,0.006044035,0.001046537,0.0007776935,0.002121418],"category_scores_gemma":[0.08357614,0.0002614634,0.0004300239,0.0037584,0.003189298,0.00351375,0.002142692,0.0009526636,0.0007106148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004027255,"about_ca_system_score_gemma":0.007143161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008413312,"about_ca_topic_score_gemma":0.02568112,"domain_scores_codex":[0.9771345,0.01222853,0.001957246,0.0008065369,0.006887704,0.0009855221],"domain_scores_gemma":[0.9290704,0.03773776,0.009861919,0.002400106,0.01697811,0.003951705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000481816,0.0003082572,0.3032891,0.001070684,0.0001479036,0.0005363238,0.03356989,0.003860288,0.009537509,0.02391055,0.007013246,0.6162744],"study_design_scores_gemma":[0.0001111457,0.001446764,0.706507,0.001260819,0.0001331708,0.0007216542,0.1552376,0.01445422,0.01180136,0.05795285,0.04983223,0.0005411251],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8934399,0.001261129,0.05239748,0.004426911,0.0001620877,0.00126658,0.0002085261,0.0001183918,0.04671897],"genre_scores_gemma":[0.958037,0.0002939254,0.03972948,0.0001298395,0.00002687568,0.0001941195,0.0000666257,0.0000332266,0.001489043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03209905,"threshold_uncertainty_score":0.169758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6269331637187032,"score_gpt":0.6211443027009944,"score_spread":0.005788861017708813,"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."}}