{"id":"W4295954732","doi":"10.1107/s2053273322099843","title":"Unravelling the molecular architecture of the Commander assembly","year":2022,"lang":"en","type":"article","venue":"Acta Crystallographica Section A Foundations and Advances","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Marine Biosciences","funders":"","keywords":"Architecture; Nanotechnology; Computer science; Cognitive science; Computational biology; Materials science; History; Biology; Psychology; Archaeology","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":[0.0002702987,0.0004110669,0.0003761465,0.0002857875,0.001032121,0.001601267,0.0009489996,0.0006823546,0.007658902],"category_scores_gemma":[0.0007283169,0.0005314319,0.000262502,0.0003035245,0.001019224,0.002030366,0.0005842516,0.002599991,0.0013908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006706304,"about_ca_system_score_gemma":0.001350679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003801228,"about_ca_topic_score_gemma":0.004037598,"domain_scores_codex":[0.9998957,0.00001576702,0.000005865636,0.00002991838,0.00002532678,0.00002747374],"domain_scores_gemma":[0.9998124,0.00005596022,0.00003247221,0.00004036195,0.00001997286,0.00003888506],"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":[0.0004248336,0.0003020147,0.005333821,0.000925454,0.0000789468,0.001609444,0.001273185,0.05885608,0.5520414,0.2927376,0.009103175,0.07731412],"study_design_scores_gemma":[0.0001896898,0.0006885157,0.007661941,0.0002432071,0.0001404294,0.0008832694,0.00128503,0.4886923,0.2726285,0.08055373,0.1467744,0.0002590554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8466353,0.006546284,0.102339,0.004474514,0.0007951471,0.00008537581,0.000433422,0.002524087,0.03616685],"genre_scores_gemma":[0.954381,0.002530025,0.03507002,0.0003192292,0.00007961885,0.00004836179,0.0005623347,0.0001939361,0.006815519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007658902,"threshold_uncertainty_score":0.02562159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042908729017446,"score_gpt":0.25313253013035,"score_spread":0.2427034428401756,"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."}}