{"id":"W3197137013","doi":"","title":"ldquo Hit and Run rdquo in Metagenomic Era High Hopes","year":2017,"lang":"en","type":"article","venue":"Journal of Human Virology & Retrovirology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital","funders":"","keywords":"Metagenomics; Computational biology; Biology; Computer science; Genetics","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":[0.00122358,0.000227639,0.0005808818,0.0002986515,0.0002900944,0.00006935237,0.0008637094,0.0005422941,0.00008950121],"category_scores_gemma":[0.0005326675,0.0001887847,0.000145108,0.00003223653,0.001268581,0.00002032359,0.0004917301,0.0006568112,0.00001585974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002897635,"about_ca_system_score_gemma":0.0001289112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007828536,"about_ca_topic_score_gemma":0.0002902847,"domain_scores_codex":[0.9979517,0.000201243,0.0007729732,0.0002985421,0.0002300347,0.0005454608],"domain_scores_gemma":[0.998332,0.00004764746,0.0006901943,0.0005747903,0.0001245229,0.0002308517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007174659,0.0002037699,0.06014584,0.00004915709,0.0003004507,0.0002118602,0.0001803076,0.00001564706,0.9257652,0.0004693349,0.003156259,0.008784715],"study_design_scores_gemma":[0.005432557,0.009411016,0.9299606,0.00002085207,0.0001190273,0.0006049014,0.0001081464,0.00007025791,0.02241825,0.003575729,0.02786171,0.0004169658],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950859,0.001208764,0.0001080202,0.002578669,0.0003339675,0.0001210646,0.000009232437,0.000003017992,0.0005513646],"genre_scores_gemma":[0.9954866,0.001738211,0.0008209602,0.0009865065,0.0005435699,0.000003961173,0.00001400445,0.00002088774,0.0003853386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.903347,"threshold_uncertainty_score":0.7698417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474181692635887,"score_gpt":0.2919757977050302,"score_spread":0.2772339807786713,"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."}}