{"id":"W4404892343","doi":"10.15210/interfaces.v22i.22139","title":"Centro, capitalidad y federalismo","year":2024,"lang":"es","type":"article","venue":"Interfaces Brasil/Canadá","topic":"Employment, Labor, and Gender Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004968423,0.000565838,0.000566386,0.0002215559,0.00104446,0.002211611,0.0007745156,0.000275672,0.001478579],"category_scores_gemma":[0.0001230327,0.0005294328,0.0002657006,0.0007062465,0.0006821575,0.0005844386,0.0002650273,0.0004607409,0.001425994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005137947,"about_ca_system_score_gemma":0.0005491871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04951017,"about_ca_topic_score_gemma":0.06989248,"domain_scores_codex":[0.9959627,0.000320468,0.0005959085,0.0009772001,0.0008991075,0.001244548],"domain_scores_gemma":[0.9985897,0.0002911906,0.0001307301,0.0004230077,0.0001639888,0.0004014077],"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":[0.00005990423,0.0003396186,0.03146327,0.001057875,0.002699794,0.0005692524,0.1842808,0.0000426513,0.001097317,0.2192169,0.5199478,0.03922478],"study_design_scores_gemma":[0.0003641769,0.0002478701,0.006303938,0.0007678116,0.000231878,0.00000977828,0.04003924,0.00008916941,0.002627114,0.003274937,0.9450966,0.0009474891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7638595,0.04925581,0.00006105862,0.03676125,0.01185321,0.0006292212,0.0004265258,0.0005627355,0.1365907],"genre_scores_gemma":[0.9590871,0.00523484,0.00003305273,0.0009148466,0.001206429,0.00003498099,0.00001429349,0.00006821081,0.03340624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4251488,"threshold_uncertainty_score":0.9997157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02720282305389002,"score_gpt":0.3419730616583939,"score_spread":0.3147702386045038,"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."}}