{"id":"W3081918134","doi":"","title":"Cómo atraer talento tech: Canada","year":2019,"lang":"es","type":"article","venue":"Executive excellence: la revista de liderazgo, la gestión y la toma de decisiones","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002097046,0.001435957,0.002067097,0.0004881319,0.0005749341,0.0007984877,0.0009682755,0.0008148304,0.002353599],"category_scores_gemma":[0.004063966,0.001337246,0.0007021985,0.001164769,0.0008405319,0.000370916,0.0009303332,0.001581357,0.0007327148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262342,"about_ca_system_score_gemma":0.004905759,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02360222,"about_ca_topic_score_gemma":0.005392285,"domain_scores_codex":[0.9907675,0.001587091,0.001583735,0.001897869,0.002201044,0.001962702],"domain_scores_gemma":[0.9852383,0.01010234,0.000453386,0.001883173,0.0009013677,0.001421408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003330326,0.002227404,0.3564992,0.003733058,0.002113346,0.02768727,0.004031975,0.00005253163,0.005327951,0.01249376,0.5063739,0.07612932],"study_design_scores_gemma":[0.003764135,0.0005778674,0.1635813,0.006733581,0.0009946638,0.002490668,0.003894761,0.0009228828,0.0007885707,0.001236228,0.813206,0.001809277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8823202,0.04494236,0.0002270132,0.002689296,0.0008943347,0.00220399,0.0006509664,0.0002842436,0.06578756],"genre_scores_gemma":[0.9646523,0.006367499,0.001168442,0.0009839366,0.0007059068,0.0001848539,0.00005219185,0.0002451054,0.02563977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3068321,"threshold_uncertainty_score":0.999839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007120581369303308,"score_gpt":0.2686592244545509,"score_spread":0.2615386430852475,"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."}}