{"id":"W6913166450","doi":"10.5683/sp3/aidigq","title":"Replication Data for the Lake Sentinels sampling program: water chemistry, phytoplankton, zooplankton, and profiling data for three Quebec lakes from fall 2012-2015","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Epilimnion; Sampling (signal processing); Transect; Hydrology (agriculture); Replication (statistics); Profiling (computer programming)","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":[0.002309658,0.002023906,0.001284887,0.003337053,0.002178264,0.001775371,0.003091863,0.001284064,0.03890613],"category_scores_gemma":[0.007781972,0.0007064086,0.001174551,0.007840584,0.0004556064,0.0006077905,0.001290197,0.001231718,0.01952974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009892177,"about_ca_system_score_gemma":0.01914612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9249665,"about_ca_topic_score_gemma":0.9518728,"domain_scores_codex":[0.9986542,0.0001352803,0.0001016242,0.0003755015,0.0004553397,0.000277924],"domain_scores_gemma":[0.9925148,0.0005264769,0.0005303767,0.0009454681,0.004968852,0.0005140394],"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":[0.0001210606,0.00002406907,0.01071666,0.0004444731,0.0001180088,0.00002961698,0.00007163588,0.00053159,0.0001741168,0.0003971146,0.9828393,0.00453244],"study_design_scores_gemma":[0.0003513472,0.00002328433,0.08456365,0.0005525678,0.0001297534,0.0000492026,0.0001927352,0.001190358,0.0006502382,0.0005145982,0.9116907,0.00009162447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004285394,0.00004671102,0.00007178642,0.00003454116,0.00001157693,0.00001801331,0.998914,0.0001101861,0.0003646087],"genre_scores_gemma":[0.001505504,0.00002855491,0.0003710906,0.00002794456,0.000004278294,0.0001084694,0.9969317,0.00003615042,0.0009862885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07503349,"threshold_uncertainty_score":0.1509507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1185766720958638,"score_gpt":0.3611224592343383,"score_spread":0.2425457871384745,"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."}}