{"id":"W2081367793","doi":"10.1364/ao.50.004535","title":"Model of phytoplankton absorption based on three size classes","year":2011,"lang":"en","type":"article","venue":"Applied Optics","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Phytoplankton; Absorption (acoustics); Chlorophyll a; Population; Environmental science; Chlorophyll; Physics; Atmospheric sciences; Biology; Oceanography; Ecology; Optics; Botany; Geology; Nutrient","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":[0.0004685187,0.0009049584,0.0007922435,0.0006043052,0.0005542408,0.0009229867,0.002422205,0.001567178,0.002441426],"category_scores_gemma":[0.001040196,0.0005542801,0.00167636,0.0006746523,0.0007383933,0.001453542,0.001032347,0.001114219,0.0008115909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001288934,"about_ca_system_score_gemma":0.0008084098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01331911,"about_ca_topic_score_gemma":0.006351768,"domain_scores_codex":[0.9997426,0.00004425588,0.00001142189,0.00009091064,0.00006613807,0.00004471303],"domain_scores_gemma":[0.9995949,0.000150484,0.00005796321,0.00003679201,0.0001124062,0.0000476392],"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":[0.0001070907,0.00008594332,0.003655928,0.00006871315,0.00007085771,0.0001711929,0.0001828301,0.9610558,0.01053188,0.01526686,0.001094985,0.007707992],"study_design_scores_gemma":[0.00001849725,0.00001112223,0.0005729434,0.000002933176,0.00001123073,0.00002868093,0.000007056557,0.9968958,0.0002898332,0.001837688,0.0003128272,0.00001138379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2636321,0.0005707844,0.7055723,0.0009063247,0.0001972486,0.0002452699,0.001196602,0.00101389,0.02666531],"genre_scores_gemma":[0.932522,0.0004888438,0.04302305,0.0002401596,0.0000914541,0.0005337636,0.0006817594,0.0001734564,0.02224539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01331911,"threshold_uncertainty_score":0.02648318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03344296886828438,"score_gpt":0.1901665591926603,"score_spread":0.1567235903243759,"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."}}