{"id":"W4393280385","doi":"10.14244/rau.v14i2.426","title":"Terras que renascem","year":2024,"lang":"pt","type":"article","venue":"Revista de Antropologia da UFSCar","topic":"Urban Development and Societal Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001508466,0.0004532844,0.0006373264,0.000149622,0.0008246278,0.001741081,0.0007747579,0.0005658336,0.002845344],"category_scores_gemma":[0.0003163594,0.0004066926,0.0004852365,0.001046747,0.001154045,0.0003933666,0.0002086256,0.0006564723,0.002140875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007315041,"about_ca_system_score_gemma":0.0009287336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001577073,"about_ca_topic_score_gemma":0.000215436,"domain_scores_codex":[0.9961661,0.0006519579,0.0006001781,0.0008031473,0.000607201,0.001171466],"domain_scores_gemma":[0.9986916,0.0003200034,0.0001282266,0.000431014,0.00009583937,0.0003333541],"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":[0.00002761743,0.0001147855,0.01020328,0.0006157776,0.0005485154,0.0007112484,0.05622856,0.000001311557,0.0008872329,0.2250631,0.6948143,0.01078428],"study_design_scores_gemma":[0.0001608941,0.00013029,0.001088501,0.0006034882,0.0002279385,0.0000155873,0.01893027,0.0002866008,0.0001516558,0.00119454,0.9765365,0.0006737876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4610279,0.345274,0.001720508,0.04839781,0.008562009,0.002218197,0.0002473968,0.002834562,0.1297177],"genre_scores_gemma":[0.8656418,0.01196359,0.0002836013,0.0004786316,0.001397656,0.00002074213,0.00003989212,0.00005943863,0.1201146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4046139,"threshold_uncertainty_score":0.9998385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04251422590276323,"score_gpt":0.3431408670508533,"score_spread":0.3006266411480901,"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."}}