{"id":"W3191778829","doi":"10.1089/gen.41.08.03","title":"Four Major Trends Shaping the Microbiome Therapeutics Market","year":2021,"lang":"en","type":"article","venue":"Genetic Engineering & Biotechnology News","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Microbiome; Mainstream; Download; Library science; Political science; Biology; World Wide Web; Bioinformatics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0006721388,0.0002160575,0.0003241784,0.000264417,0.0000958833,0.00003465454,0.0004644493,0.001080874,0.0004440857],"category_scores_gemma":[0.001439424,0.0001674529,0.0001623336,0.0009405398,0.0002807789,0.00001362615,0.0003614457,0.002294364,0.00006424324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007934102,"about_ca_system_score_gemma":0.000201445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001058772,"about_ca_topic_score_gemma":0.000045489,"domain_scores_codex":[0.9981459,0.00004737514,0.00041487,0.0004875152,0.0003314285,0.0005729625],"domain_scores_gemma":[0.9974865,0.0009934375,0.00005334893,0.001217822,0.0001482871,0.0001006346],"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":[0.00004297944,0.0001136621,0.001317049,0.0001962939,0.0004502075,0.0006803377,0.0001060684,0.000122523,0.9202861,0.004000387,0.00178527,0.07089911],"study_design_scores_gemma":[0.003427206,0.0008496527,0.06918447,0.0006822335,0.0004749428,0.003919621,0.0004288528,0.009672821,0.4728838,0.004396631,0.4330956,0.0009841489],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6074261,0.02108291,0.03093806,0.3304652,0.001670798,0.000692376,0.0000320331,0.001411246,0.006281268],"genre_scores_gemma":[0.9094815,0.005942351,0.06744487,0.00424703,0.0003051591,0.00005962071,0.00001114532,0.0001343213,0.01237404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4474023,"threshold_uncertainty_score":0.9967996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1899284794384584,"score_gpt":0.4158647109582462,"score_spread":0.2259362315197879,"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."}}