{"id":"W3091158684","doi":"10.1080/21505594.2020.1827885","title":"Live imaging and quantitative analysis of <i>Aspergillus fumigatus</i> growth and morphology during inter-microbial interaction with <i>Pseudomonas aeruginosa</i>","year":2020,"lang":"en","type":"article","venue":"Virulence","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"National Cancer Institute; Cambridge Institute for Medical Research, University of Cambridge; National Institutes of Health","keywords":"Biology; Microbiology; Pseudomonas aeruginosa; Mycelium; Aspergillus fumigatus; Pyoverdine; Hypha; Pyocyanin; Virulence; Bacteria; Biochemistry; Gene; Botany","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":[0.00004304281,0.0001429663,0.0002335035,0.00006405183,0.00005856008,0.00002569113,0.00006267136,0.00005531594,0.00000667302],"category_scores_gemma":[0.00004123889,0.000127444,0.00004688017,0.0001829341,0.0002117122,0.00001705252,0.0001339286,0.0000867004,9.639147e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004572965,"about_ca_system_score_gemma":0.00001440349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001626124,"about_ca_topic_score_gemma":0.00005089012,"domain_scores_codex":[0.9991865,0.00004890428,0.0001766927,0.0003851784,0.00004947342,0.0001532812],"domain_scores_gemma":[0.9996116,0.00001760389,0.0001264492,0.0001048629,0.00006406227,0.00007544214],"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":[0.0005084507,0.00001333585,0.0109887,0.00003240188,0.0002039887,0.00001273018,0.0005006291,0.00001064883,0.9873559,0.00003894467,0.0000157195,0.0003185767],"study_design_scores_gemma":[0.0005451297,0.0003675965,0.01161911,0.00004423966,0.0002673384,0.00006681452,0.0006991344,0.0003956926,0.985652,0.00000207196,0.000123455,0.0002173587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986002,0.0003026072,0.0005256866,0.0003297842,0.00005053833,0.00007246077,0.0000452438,0.000009175085,0.00006429114],"genre_scores_gemma":[0.9976808,0.0003081681,0.001512067,0.0003976335,0.00004665649,0.000001553933,0.00003741226,0.00001183764,0.000003889684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001703818,"threshold_uncertainty_score":0.5197014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007612470316849538,"score_gpt":0.2206601351794507,"score_spread":0.2130476648626012,"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."}}