{"id":"W2774158596","doi":"10.1130/abs/2017am-303664","title":"TROPHIC PROFILING OF THE MOUTH OF THE GENESEE RIVER AT LAKE ONTARIO AS FUNCTION OF SEASONALITY AND DETERMINATION OF GREEN ALGAE AND BLUE GREEN ALGAE USING THE LANDSAT IMAGES","year":2017,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Aquatic and Environmental Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Algae; Seasonality; Blue green algae; Environmental science; Geography; Oceanography; Geology; Ecology; Biology; Cyanobacteria; Paleontology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002670786,0.0001069775,0.0002413457,0.000002899417,0.0003384083,0.000006850596,0.0001825683,0.00006720681,0.00004372514],"category_scores_gemma":[0.0000277346,0.00004566971,0.00009539341,0.00004669948,0.003230655,0.00007843551,0.0001214579,0.0001249996,2.309125e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005710304,"about_ca_system_score_gemma":0.00002393681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08031009,"about_ca_topic_score_gemma":0.01099794,"domain_scores_codex":[0.999118,0.00006594355,0.0002312686,0.0001510757,0.0003032672,0.0001304643],"domain_scores_gemma":[0.9989014,0.0001226441,0.0007174803,0.0001904243,0.00004044604,0.00002764127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007307636,0.00003434969,0.955575,0.00005888871,0.00005993617,1.810038e-7,0.001859324,0.0001659302,0.0002326888,8.24365e-7,0.000001326462,0.04193841],"study_design_scores_gemma":[0.0002346382,0.000339696,0.9965828,0.00003626482,0.0001044114,0.000003812189,0.001068483,0.0007313846,0.0006510706,0.000141614,0.00004944411,0.00005634818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989728,0.0001829475,0.00005594037,0.0003438676,0.00001412455,0.0003063831,0.00002216009,0.000002512291,0.00009920743],"genre_scores_gemma":[0.9971828,0.00006986715,0.002620182,0.00004358056,0.000009617511,0.000001473338,0.000007238883,0.000001779214,0.00006346824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06931215,"threshold_uncertainty_score":0.999482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557184324701732,"score_gpt":0.2207132218897827,"score_spread":0.1951413786427653,"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."}}