{"id":"W4413631703","doi":"10.64628/aao.qy3gchmum","title":"Seis maneras de prepararnos ante una recesión económica","year":2022,"lang":"es","type":"article","venue":"","topic":"Employment, Labor, and Gender Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Humanities; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003025349,0.0002371459,0.0003271782,0.0008060168,0.002063522,0.001628744,0.0004515889,0.00127652,0.01101024],"category_scores_gemma":[0.01128175,0.0002454181,0.0004020632,0.0006786218,0.001045675,0.001275545,0.001677934,0.001920959,0.0007770138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093037,"about_ca_system_score_gemma":0.001460163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01046847,"about_ca_topic_score_gemma":0.02551555,"domain_scores_codex":[0.9987597,0.000318046,0.00006913746,0.0001161233,0.0001983325,0.0005385628],"domain_scores_gemma":[0.9959626,0.001515478,0.0009903128,0.0002984323,0.0006116155,0.0006216928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005065766,0.002432532,0.8033739,0.0002536161,0.0001343423,0.002903173,0.02733117,0.0002587593,0.00187394,0.01039188,0.00564022,0.1403407],"study_design_scores_gemma":[0.00006730246,0.001444957,0.8763878,0.0003077527,0.0001600777,0.0007692144,0.08251785,0.0001910089,0.001440256,0.002916787,0.03375251,0.00004457458],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9859357,0.001000933,0.0001468878,0.001943758,0.0001844283,0.00002095224,0.0003305929,0.000005570756,0.01043109],"genre_scores_gemma":[0.9862608,0.001065974,0.0001339179,0.0003016582,0.0001428214,0.00003615394,0.0001394984,0.000003960808,0.011915],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01101024,"threshold_uncertainty_score":0.03683287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664976274636688,"score_gpt":0.3460603630124456,"score_spread":0.3194106002660788,"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."}}