{"id":"W2006105111","doi":"10.1038/517262a","title":"Microbiology: Here's looking at you, squid","year":2015,"lang":"en","type":"article","venue":"Nature","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Squid; Computational biology; Biology; Fishery","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":[0.002705123,0.001560095,0.00150035,0.0008501135,0.004653515,0.006841282,0.0008172627,0.004573449,0.02923927],"category_scores_gemma":[0.004465733,0.0004206235,0.0008800123,0.0004982572,0.003871717,0.006498144,0.003031636,0.008636817,0.01478214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001892346,"about_ca_system_score_gemma":0.00348751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007349826,"about_ca_topic_score_gemma":0.01610723,"domain_scores_codex":[0.9984038,0.0004102474,0.00008042131,0.0002473966,0.0005552967,0.0003026753],"domain_scores_gemma":[0.9975043,0.0001708972,0.0001517601,0.0001307739,0.000747514,0.00129479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003373834,0.0001102271,0.006568996,0.0008972769,0.000113966,0.0007424413,0.001965678,0.00007032615,0.02094729,0.009084097,0.838116,0.1210464],"study_design_scores_gemma":[0.00002012817,0.0002045387,0.004659436,0.000835183,0.00005924783,0.001118434,0.004671237,0.00004230013,0.001213912,0.007475331,0.9796305,0.00006984403],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007905591,0.1472126,0.003533712,0.6751624,0.122851,0.00005975962,0.0003111234,0.0008787895,0.04208505],"genre_scores_gemma":[0.07665678,0.06582955,0.01014885,0.5680894,0.0394249,0.00008891443,0.0003285541,0.0004241346,0.2390089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02923927,"threshold_uncertainty_score":0.0978151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008633249650324486,"score_gpt":0.2696073597257078,"score_spread":0.2609741100753833,"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."}}