{"id":"W6987497009","doi":"","title":"STUDI PRAFORMULASI ASAM p-METOKSISINAMAT DAN UPAYA PENGEMBAGAN SEBAGAI SEDIAAN TOPIKAL ANTIINFLAMASI","year":2013,"lang":"id","type":"other","venue":"Universitas Airlangga Repository (Universitas Airlangga)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Limiting; Work (physics); Naturally aspirated engine","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":[0.0006060844,0.0004345483,0.0006010744,0.0003809097,0.0004007956,0.001143187,0.0003661481,0.0006031109,0.006610869],"category_scores_gemma":[0.0006462289,0.0002746112,0.0008898345,0.0003628434,0.0003326132,0.0009418327,0.0003068314,0.0009856513,0.001901151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004922724,"about_ca_system_score_gemma":0.0006511401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001381427,"about_ca_topic_score_gemma":0.002823054,"domain_scores_codex":[0.9995422,0.00008167693,0.00004269099,0.0001189958,0.0001371334,0.00007731099],"domain_scores_gemma":[0.9996794,0.000113892,0.00004776333,0.00003120145,0.0000944145,0.00003324774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001339932,0.0005869608,0.002506447,0.001998035,0.0001333552,0.0002279615,0.0003620997,0.0002342654,0.9189975,0.0005817538,0.001655245,0.07137655],"study_design_scores_gemma":[0.00009203546,0.006678036,0.01426886,0.0002477376,0.0004574928,0.0007213348,0.0007022918,0.0007842181,0.9007203,0.0004834829,0.07480159,0.00004254067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8871747,0.07940689,0.009436754,0.0009383634,0.0007263783,0.0005627281,0.002148692,0.0001824737,0.01942316],"genre_scores_gemma":[0.90409,0.03917675,0.009509876,0.0006991314,0.00012704,0.0004566208,0.001876575,0.0001180342,0.04394595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006610869,"threshold_uncertainty_score":0.02211559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006959970917900078,"score_gpt":0.1936647069641138,"score_spread":0.1867047360462137,"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."}}