{"id":"W1773005736","doi":"","title":"Canales de búsqueda de empleo en Ibagué: una aproximación a su estudio","year":2012,"lang":"es","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Employment, Labor, and Gender Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Welfare economics; Humanities; Political science; Geography; Economics; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002331199,0.0002398181,0.0003939571,0.003062545,0.002306699,0.003252213,0.0008359171,0.000618008,0.003913492],"category_scores_gemma":[0.004879869,0.0002417578,0.0002938624,0.00527893,0.002282053,0.002043635,0.003274084,0.000885691,0.0005223996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006703771,"about_ca_system_score_gemma":0.004199363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2607664,"about_ca_topic_score_gemma":0.4897165,"domain_scores_codex":[0.9988204,0.0003376333,0.00006023665,0.0001503703,0.0002371373,0.0003941582],"domain_scores_gemma":[0.9967957,0.0009062135,0.0008339511,0.000183513,0.0009125688,0.0003679935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000198639,0.00008419923,0.840845,0.0002129541,0.00003156402,0.0006781985,0.09705508,0.0001949023,0.0008136767,0.004012474,0.00290983,0.05296345],"study_design_scores_gemma":[0.000005539442,0.0001028891,0.7933278,0.000389039,0.00002286697,0.000237412,0.177986,0.0002247197,0.0003970165,0.0006915146,0.02658259,0.0000326159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836087,0.002073637,0.0008609343,0.0007509948,0.00003112789,0.00005372195,0.0007069315,0.00001461945,0.01189959],"genre_scores_gemma":[0.990568,0.00118888,0.00121765,0.0001284604,0.00002064516,0.00009123876,0.0003947415,0.00001534108,0.006375034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2607664,"threshold_uncertainty_score":0.5184972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04799285730819607,"score_gpt":0.3882440453085522,"score_spread":0.3402511880003561,"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."}}