{"id":"W4407935498","doi":"10.1101/2025.02.19.639072","title":"Deciphering the dynamics of Cyanobacteria-Phage in a natural lake: Insights from a decade-long investigation","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Université de Montréal; Environment and Climate Change Canada; McGill University","funders":"","keywords":"Cyanobacteria; Natural (archaeology); Dynamics (music); Geography; Ecology; Biology; Environmental ethics; Sociology; Bacteria; Archaeology; Philosophy; Paleontology","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":[0.0006380943,0.0002204913,0.0003969037,0.001251966,0.0004189037,0.0005911821,0.0002801012,0.0004457046,0.0006214598],"category_scores_gemma":[0.0004285031,0.0001610082,0.0003328739,0.001224217,0.0005167493,0.0008867549,0.0007125988,0.000480791,0.0001454182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006264989,"about_ca_system_score_gemma":0.0005495321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004731555,"about_ca_topic_score_gemma":0.009654361,"domain_scores_codex":[0.9998015,0.00002307643,0.00001253023,0.00006427755,0.00006456587,0.00003406639],"domain_scores_gemma":[0.9995229,0.00007461133,0.0001265833,0.00002117531,0.0001590854,0.00009563762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001841518,0.0002126912,0.467517,0.001320428,0.0003322346,0.0007548782,0.002506577,0.002642305,0.4359669,0.0007726948,0.001161079,0.08662893],"study_design_scores_gemma":[0.000002384762,0.0001051252,0.9817997,0.0000808753,0.00006888205,0.000200469,0.0009372038,0.002909167,0.006281093,0.0003857431,0.007199266,0.00003019076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894127,0.006989336,0.001823676,0.0001957752,0.00001134286,0.0000108652,0.0005545914,0.00002780525,0.0009738362],"genre_scores_gemma":[0.9874173,0.005979671,0.003767041,0.0002584768,0.00006728587,0.00003261159,0.001475529,0.00002591468,0.0009761978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004731555,"threshold_uncertainty_score":0.009408057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008041935798008064,"score_gpt":0.2028598834416675,"score_spread":0.1948179476436594,"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."}}