{"id":"W2885900077","doi":"10.11159/icepr18.147","title":"Phaeodactylum Tricornutum as a Potential Phytoremediator of Sea and Fresh Waters","year":2018,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phaeodactylum tricornutum; Oceanography; Environmental science; Chemistry; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001316962,0.0001519655,0.0002542707,0.0002191874,0.00009302146,0.00004275647,0.0006336422,0.00007748348,0.0001033629],"category_scores_gemma":[0.0001503701,0.00009433724,0.00006506082,0.0004503987,0.0004730346,0.0001647951,0.0001503605,0.0001485344,0.00001319481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003339109,"about_ca_system_score_gemma":0.00002981818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001031818,"about_ca_topic_score_gemma":0.001011593,"domain_scores_codex":[0.998988,0.000004329744,0.0002459305,0.0002394206,0.0002836871,0.0002386234],"domain_scores_gemma":[0.9994013,0.00003645567,0.000276489,0.0001450171,0.00009571465,0.00004506627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005051267,0.00004671253,0.7391071,0.0002237012,0.0001040264,0.000003633825,0.000137698,0.000002330539,0.005236141,0.001218963,0.03807106,0.2153435],"study_design_scores_gemma":[0.001500663,0.001437606,0.05623409,0.0004495527,0.0000932791,0.00004668166,0.002415878,0.001155523,0.8858194,0.01830217,0.03203453,0.0005106271],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822535,0.0001792557,3.707757e-7,0.001592755,0.0006399287,0.0002318722,0.00002201919,0.0001556186,0.01492471],"genre_scores_gemma":[0.9967378,0.00005345173,0.00016964,0.00004824304,0.00009168861,0.000002203977,0.000001268745,0.000004461901,0.002891215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8805833,"threshold_uncertainty_score":0.3846961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00745415769120486,"score_gpt":0.198201636267798,"score_spread":0.1907474785765932,"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."}}