{"id":"W6889578982","doi":"10.26071/ogsl-bw9a-0y85","title":"Toxic Algae Alexandrium catenella Monitoring in Estuary and Gulf of Saint-Lawrence Web Application","year":2022,"lang":"en","type":"dataset","venue":"OGSL repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Bloom; Algal bloom; Estuary; Christian ministry; Algae; Aquaculture; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006430401,0.0005263045,0.0007339866,0.0005969144,0.0001943874,0.00006043912,0.0008349442,0.0003999927,0.0001279077],"category_scores_gemma":[0.00008187292,0.0006192858,0.0001100205,0.000588341,0.0002282159,0.0001623435,0.0006686132,0.0009257003,0.00007424686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037518,"about_ca_system_score_gemma":0.0003571659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006233171,"about_ca_topic_score_gemma":0.0002184938,"domain_scores_codex":[0.9962783,0.0003399859,0.0009570408,0.00108816,0.0008802174,0.0004562479],"domain_scores_gemma":[0.9969978,0.0002114269,0.0009025731,0.00161251,0.0001081409,0.0001675869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001106188,0.0003087625,0.009817873,0.0005649682,0.00008061352,0.0002197815,0.00008060068,0.0001994462,0.1453067,0.000008205971,0.8428956,0.0004068236],"study_design_scores_gemma":[0.0009412997,0.0002409664,0.01484351,0.0004254404,0.0002582429,0.000294985,0.0002003559,0.0001315194,0.01879798,0.00003108901,0.9627864,0.001048201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08617432,0.005588356,0.000003762995,0.00001252579,0.001644762,0.001076874,0.9049178,0.0001255795,0.0004560005],"genre_scores_gemma":[0.08243339,0.0007791565,0.0001354715,0.00001554487,0.0006596211,0.0008289713,0.91449,0.0001911174,0.0004666691],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1265087,"threshold_uncertainty_score":0.9996259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166005678975274,"score_gpt":0.250009830458451,"score_spread":0.2383497736686983,"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."}}