{"id":"W7155270806","doi":"","title":"Policy Brief N° 1: Digital labor: New opportunities and challenges","year":2020,"lang":"en","type":"report","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Public policy; Key (lock); Scope (computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006779871,0.001091205,0.000670255,0.00282984,0.01022943,0.01575411,0.003387619,0.01888156,0.06165688],"category_scores_gemma":[0.01438304,0.001050769,0.0006184646,0.004676561,0.002795288,0.006659928,0.004757294,0.007385822,0.01115953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05278293,"about_ca_system_score_gemma":0.2665508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8346345,"about_ca_topic_score_gemma":0.8987899,"domain_scores_codex":[0.9894963,0.0008910724,0.0003840467,0.0004430427,0.004383064,0.00440249],"domain_scores_gemma":[0.9834231,0.004601727,0.0009686599,0.0004108174,0.006257434,0.004338228],"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":[0.00004405241,0.00007015615,0.0007884273,0.0003082032,0.00000296352,0.0001041202,0.0005077091,0.0001909033,0.0002138474,0.02710261,0.9623961,0.008270978],"study_design_scores_gemma":[0.00002587604,0.0000236648,0.005462855,0.0004597604,0.000007325743,0.00002915827,0.003197308,0.0001317222,0.0002850457,0.001656804,0.9886851,0.00003533953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.009144639,0.01076492,0.0009046456,0.5893111,0.007823365,0.001518811,0.03597694,0.0003868426,0.3441688],"genre_scores_gemma":[0.0319923,0.01475861,0.001561103,0.1170661,0.001951921,0.001392892,0.01026984,0.0001748585,0.8208324],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8346345,"threshold_uncertainty_score":0.3829687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07985006665697979,"score_gpt":0.280010882903905,"score_spread":0.2001608162469252,"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."}}