{"id":"W6906387465","doi":"10.17632/85gy8ct4yn","title":"2019 Thames River (Canada) Cyanobacterial Bloom","year":2020,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tributary; Bloom; Water quality; Standing crop; Watershed; Hydrology (agriculture); Algal bloom; Sampling (signal processing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004516097,0.001545715,0.0009791435,0.002725101,0.001654082,0.002127784,0.001857853,0.001013813,0.0206971],"category_scores_gemma":[0.002312262,0.0005329616,0.0008401714,0.007240081,0.0004312819,0.0006145709,0.001115975,0.0010299,0.01636149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007904273,"about_ca_system_score_gemma":0.01467191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9092087,"about_ca_topic_score_gemma":0.9535043,"domain_scores_codex":[0.9994398,0.00002807362,0.00003563611,0.00013743,0.0002067473,0.0001523542],"domain_scores_gemma":[0.9984444,0.00010015,0.00009320646,0.0001798422,0.0009866317,0.0001958132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000736299,0.00001235568,0.003589539,0.0003364764,0.00003835295,0.00004474098,0.00003473079,0.0004481048,0.0001317312,0.0004376251,0.9921831,0.002669505],"study_design_scores_gemma":[0.0001698669,0.00001200707,0.04125293,0.0003792183,0.00005174841,0.00006479041,0.0001856865,0.001390864,0.0005693077,0.0006406379,0.9552218,0.00006107335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002774187,0.00005057675,0.00001746353,0.00003867978,0.000009828052,0.000004612944,0.9989905,0.000081389,0.0005294887],"genre_scores_gemma":[0.0007956526,0.00006093933,0.0001084679,0.00002625461,0.000003259672,0.00001489953,0.9982206,0.00001897102,0.0007509399],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09079134,"threshold_uncertainty_score":0.182652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04639329699521273,"score_gpt":0.2664200736141225,"score_spread":0.2200267766189097,"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."}}