{"id":"W1559954704","doi":"10.1063/1.2709609","title":"Modelling oscillatory pollen tube growth with flow equations","year":2007,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Pollen tube; Tube (container); Flow (mathematics); Mechanics; Computer science; Pollen; Petroleum engineering; Geology; Materials science; Physics; Botany; Composite material; Biology","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":[0.0005407538,0.000776872,0.000848573,0.0006563074,0.0005190258,0.001120559,0.001382288,0.003165123,0.003422029],"category_scores_gemma":[0.00408415,0.001144772,0.001148551,0.0005755194,0.001245503,0.001506757,0.00104689,0.001518242,0.0003399223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193347,"about_ca_system_score_gemma":0.0009015194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02424338,"about_ca_topic_score_gemma":0.007940334,"domain_scores_codex":[0.9998487,0.00005624974,0.000008975307,0.00003370714,0.00002668133,0.00002562109],"domain_scores_gemma":[0.9981886,0.001344415,0.0001794508,0.00005663463,0.0001345948,0.00009640768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001270552,0.000009426363,0.0002915434,0.00001292282,0.000007649246,0.00003062965,0.00001372649,0.9950317,0.0005135307,0.003276057,0.0001393559,0.0006608123],"study_design_scores_gemma":[0.000004384607,0.000001855565,0.00005579887,0.000001303207,0.000001528785,0.000002535847,0.000001662691,0.9992293,0.00004417659,0.0006010595,0.00005432456,0.000002038229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4758737,0.001058127,0.4931727,0.001970724,0.000351294,0.0001138501,0.0008129879,0.0007132769,0.02593329],"genre_scores_gemma":[0.9593397,0.0003488025,0.02721733,0.0001391161,0.0001090971,0.0001294154,0.0002870838,0.000253175,0.01217631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02424338,"threshold_uncertainty_score":0.04820454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02078567351474905,"score_gpt":0.2411933532144608,"score_spread":0.2204076796997117,"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."}}