{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01885939,0.0003741551,0.0005826448,0.00817972,0.006356528,0.01947954,0.001501216,0.001895452,0.01505063],"category_scores_gemma":[0.05837674,0.0003612967,0.0006741777,0.01446648,0.007263369,0.01023883,0.009736909,0.002002437,0.002149578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01672489,"about_ca_system_score_gemma":0.0318872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02998008,"about_ca_topic_score_gemma":0.04114247,"domain_scores_codex":[0.9782905,0.009524597,0.001615974,0.001681308,0.00650138,0.002386152],"domain_scores_gemma":[0.950884,0.02360524,0.00543743,0.003824451,0.0119784,0.00427051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005212278,0.0002285922,0.08631285,0.002869274,0.0001612123,0.0003246785,0.1540775,0.00125849,0.001254046,0.2622554,0.02088716,0.4698496],"study_design_scores_gemma":[0.00008842956,0.0004170133,0.1390287,0.003007896,0.0001930564,0.0003087579,0.2668506,0.0009771598,0.002596193,0.05504771,0.5313469,0.0001376719],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4272496,0.01768233,0.01759803,0.04551701,0.0008496212,0.0007557941,0.002328524,0.0006122418,0.4874068],"genre_scores_gemma":[0.9662395,0.004893712,0.005075942,0.001020626,0.0001649023,0.0003035266,0.0004415555,0.0001304296,0.02172986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02998008,"threshold_uncertainty_score":0.1213481,"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."}}