{"id":"W4245060857","doi":"10.1038/nbt.2779","title":"Collateral damage","year":2014,"lang":"en","type":"letter","venue":"Nature Biotechnology","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Collateral damage; Collateral; Business; Psychology; Finance; Criminology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006444037,0.0003884927,0.0005009949,0.000459124,0.0009647999,0.001615491,0.0007626852,0.006257443,0.02533174],"category_scores_gemma":[0.004160657,0.0001992559,0.0008068986,0.0002782622,0.00110698,0.001078498,0.001047248,0.006159504,0.007884461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660981,"about_ca_system_score_gemma":0.0006997662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005604773,"about_ca_topic_score_gemma":0.00101442,"domain_scores_codex":[0.9993437,0.0001205153,0.00004181869,0.0001559319,0.0001953841,0.0001426118],"domain_scores_gemma":[0.9987088,0.0003848349,0.0001469217,0.0003339987,0.0001930396,0.0002323746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006540738,0.0001206274,0.001942258,0.000311496,0.00007951148,0.02080477,0.0001256601,0.0003041803,0.01361495,0.08882674,0.7585087,0.114707],"study_design_scores_gemma":[0.0001392105,0.0001723576,0.001549908,0.000183568,0.00004079992,0.04107171,0.00006913889,0.0006171074,0.0068208,0.0358702,0.9134311,0.00003406699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02965978,0.02765672,0.01654714,0.522953,0.04403598,0.0002630356,0.001055846,0.001853831,0.3559748],"genre_scores_gemma":[0.3472444,0.01246042,0.004161701,0.2735239,0.02464942,0.0002966326,0.0009420356,0.0003150602,0.3364066],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02533174,"threshold_uncertainty_score":0.08474308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004590773674992125,"score_gpt":0.2355114196270933,"score_spread":0.2309206459521012,"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."}}