{"id":"W7033018066","doi":"","title":"O Arquivo da Euronext – Bolsa de Lisboa: Organização e descrição","year":2018,"lang":"pt","type":"article","venue":"Cadernos BAD","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004717174,0.0006192095,0.0005298022,0.0001505798,0.0006012659,0.0003007632,0.0009050036,0.0003643329,0.002988926],"category_scores_gemma":[0.001173244,0.000642475,0.0001771,0.0004959192,0.0006206306,0.0003383675,0.0005469884,0.0008546872,0.008667989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002083244,"about_ca_system_score_gemma":0.0002669344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002681176,"about_ca_topic_score_gemma":0.0000200078,"domain_scores_codex":[0.9963791,0.0003871199,0.0006078444,0.0009926028,0.000419578,0.001213732],"domain_scores_gemma":[0.9977704,0.0003250372,0.0003275607,0.0007597454,0.0003371427,0.000480075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002098984,0.002200005,0.1778319,0.00104732,0.001241399,0.006243177,0.07317188,0.00001382722,0.4508411,0.006919526,0.2287136,0.04967731],"study_design_scores_gemma":[0.008346996,0.03032434,0.2752779,0.005359374,0.001442211,0.006707915,0.01884154,0.02728369,0.1048237,0.003447963,0.509524,0.008620361],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968876,0.001995433,0.003004391,0.001284457,0.001469741,0.0003582653,0.000107462,0.0005402845,0.02236394],"genre_scores_gemma":[0.9496664,0.0001055238,0.001059975,0.00121728,0.003331643,0.00001292675,0.00001664261,0.0002045774,0.04438502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3460174,"threshold_uncertainty_score":0.9996027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2170052822958174,"score_gpt":0.3998600738635923,"score_spread":0.1828547915677749,"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."}}