{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001153208,0.0002809185,0.0002377246,0.0005143348,0.000286499,0.0005045812,0.0002364445,0.0002917545,0.0009408919],"category_scores_gemma":[0.0001182434,0.0001005147,0.0002046813,0.000522082,0.0001350413,0.0002170902,0.0003500085,0.0001679912,0.0002529855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000199796,"about_ca_system_score_gemma":0.0002997595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002386283,"about_ca_topic_score_gemma":0.005385252,"domain_scores_codex":[0.9998888,0.00002143071,0.000009631615,0.00002041663,0.00004122704,0.00001848793],"domain_scores_gemma":[0.9999239,0.000009373346,0.00001222863,0.00000779823,0.00002570322,0.00002086972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001048897,0.00003400267,0.002678571,0.0004018607,0.0000131514,0.0002825715,0.0000328374,0.0002498525,0.9681567,0.00007915673,0.000167744,0.02779871],"study_design_scores_gemma":[0.0000152626,0.001847146,0.03159201,0.0001597901,0.0001597293,0.001571357,0.0004835257,0.001517289,0.9356776,0.0001680819,0.02678972,0.00001851427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650051,0.01950836,0.00329264,0.0004171096,0.00007676188,0.00006564389,0.0006868654,0.00009145671,0.01085613],"genre_scores_gemma":[0.980583,0.007493354,0.006032186,0.0001343657,0.00001045199,0.00002458131,0.0007204082,0.0000125082,0.00498917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002386283,"threshold_uncertainty_score":0.004744768,"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."}}