{"id":"W3084382386","doi":"10.22215/etd/2019-13774","title":"Assessment of FlowCam VisualSpreadsheet as a potential tool for rapid semi-automatic analysis of lacustrine Arcellinida (testate lobose amoebae)","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bioindicator; Assemblage (archaeology); Cove; Ecology; Geography; Biology; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003546178,0.0004608738,0.000384628,0.001843971,0.0004208682,0.001162696,0.0006821608,0.0007391495,0.002721887],"category_scores_gemma":[0.00248128,0.0002169268,0.0003089289,0.0007972069,0.0005341486,0.000807442,0.000613091,0.000500199,0.000598103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002145,"about_ca_system_score_gemma":0.0008704126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003282643,"about_ca_topic_score_gemma":0.005130065,"domain_scores_codex":[0.9988154,0.0002075691,0.00005957149,0.0002501384,0.0005955261,0.0000717983],"domain_scores_gemma":[0.9986261,0.0004407241,0.000193094,0.00006472762,0.0006102269,0.00006511656],"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":[0.000435745,0.0001287808,0.02735842,0.0004233911,0.00006365944,0.00005807684,0.000507079,0.0009801291,0.802246,0.001038537,0.001792742,0.1649674],"study_design_scores_gemma":[0.0000670915,0.001020871,0.1958176,0.0001845352,0.0001977041,0.0005909739,0.0004911326,0.04019735,0.7323892,0.001101606,0.02780899,0.0001331354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7784538,0.002954013,0.2022032,0.0008532882,0.0002023602,0.0007510497,0.003464948,0.002789468,0.00832788],"genre_scores_gemma":[0.5795416,0.001581348,0.4054981,0.0005619281,0.0001032571,0.0008708626,0.003911361,0.0003010611,0.007630475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003546178,"threshold_uncertainty_score":0.01875418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007149606364100706,"score_gpt":0.2941090262308578,"score_spread":0.2869594198667571,"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."}}