{"id":"W4231079447","doi":"10.22215/etd/2020-14244","title":"The development and application of a universal trait-based model for rapid bioassessment of freshwater systems using diatoms","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Identification (biology); Trait; Process (computing); Certainty; Computer science; Ecology; Data mining; Biology; Mathematics","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":[0.0008691177,0.0005178973,0.000710195,0.0003581388,0.0004972936,0.001048485,0.001219538,0.001052533,0.001296033],"category_scores_gemma":[0.001575046,0.0002866556,0.0009153869,0.0004087905,0.000373193,0.0005628126,0.0009250089,0.0009299261,0.0003254557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009709279,"about_ca_system_score_gemma":0.001560533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02207408,"about_ca_topic_score_gemma":0.01160942,"domain_scores_codex":[0.9998554,0.00003717888,0.00001184059,0.00004427396,0.00002858569,0.00002274755],"domain_scores_gemma":[0.9995791,0.0002063256,0.00003688319,0.00002339458,0.0001231201,0.00003117286],"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":[0.00002140236,0.00002870011,0.001617502,0.00003714913,0.0000318384,0.00003596798,0.00003532403,0.9801731,0.001659022,0.003198105,0.0002846122,0.01287731],"study_design_scores_gemma":[0.000001381974,0.000006125136,0.0001232455,0.000001934135,0.000004149901,0.000003406382,0.00000249614,0.9991472,0.0001255176,0.000397335,0.0001838543,0.000003270629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06995563,0.0002643582,0.9230015,0.0003326281,0.00009228182,0.0001435474,0.000349078,0.0006565005,0.005204422],"genre_scores_gemma":[0.7587282,0.0004484625,0.2339967,0.0001236115,0.00005571052,0.0006111893,0.0004860277,0.0001372245,0.005412788],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02207408,"threshold_uncertainty_score":0.04389119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03407031613290049,"score_gpt":0.3078587548024144,"score_spread":0.273788438669514,"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."}}