{"id":"W2898498214","doi":"","title":"Cuidar da memória, do futuro e da sustentabilidade: comparar estratégias profissionais","year":2018,"lang":"pt","type":"article","venue":"Cadernos BAD","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Sustainability; Library science; Art; 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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008724863,0.0004602821,0.0004713968,0.0001366323,0.001788628,0.001397745,0.001345547,0.0004867991,0.006528472],"category_scores_gemma":[0.0002078996,0.0004112383,0.000232745,0.001264009,0.002086825,0.002763516,0.0001915661,0.0004981838,0.002776711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311373,"about_ca_system_score_gemma":0.001517875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004584769,"about_ca_topic_score_gemma":0.0002825856,"domain_scores_codex":[0.9952359,0.0004817598,0.0007614718,0.001094001,0.001327177,0.001099658],"domain_scores_gemma":[0.9977411,0.0001987749,0.0003767093,0.0006637608,0.0002342939,0.0007853435],"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":[0.0002733757,0.001304986,0.1379201,0.000242102,0.0001746163,0.0001862544,0.1776945,0.00001451226,0.009243946,0.07239047,0.5828297,0.01772552],"study_design_scores_gemma":[0.001547994,0.001760637,0.06908589,0.000401548,0.0001743365,0.00003702996,0.1220273,0.0007690695,0.018895,0.005034141,0.778293,0.001974037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9231049,0.0007030059,0.00008299608,0.02166958,0.005159422,0.001192517,0.00008298008,0.0002205014,0.04778409],"genre_scores_gemma":[0.9616073,0.00006983148,0.0001316343,0.001225217,0.004120525,0.00002316453,0.00004470613,0.0000325992,0.03274504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1954633,"threshold_uncertainty_score":0.9998339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07442346114967582,"score_gpt":0.3548407595431891,"score_spread":0.2804172983935133,"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."}}