{"id":"W6910926997","doi":"10.5281/zenodo.10167133","title":"Philhygra proterminalis","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Agriculture and Agri-Food Canada; Canadian Forest Service","funders":"","keywords":"Marsh; Habitat; Vegetation (pathology); Wetland; Hydrology (agriculture); Deciduous; Floodplain; Flood myth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002292646,0.001291656,0.0005235036,0.003117898,0.001440219,0.0005140043,0.0006309048,0.0006090899,0.0650083],"category_scores_gemma":[0.0003755932,0.0004045763,0.0001829869,0.001207675,0.000713694,0.001510754,0.00152905,0.0008363238,0.03028541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006289099,"about_ca_system_score_gemma":0.0003210234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004991606,"about_ca_topic_score_gemma":0.01188287,"domain_scores_codex":[0.9997787,0.00003174226,0.00001529308,0.00009395677,0.00005018838,0.00003018075],"domain_scores_gemma":[0.9998863,0.00002291852,0.00004316781,0.00001128253,0.00001715393,0.0000192499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005483914,0.0003705279,0.009023055,0.001628843,0.00006323663,0.002338789,0.001392083,0.001449264,0.03145649,0.008144064,0.08043896,0.8631463],"study_design_scores_gemma":[0.0001091677,0.0004257836,0.1323546,0.0008953362,0.00008784272,0.00486472,0.001132619,0.0009907869,0.003029474,0.002227698,0.8538192,0.00006276698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1107904,0.01804674,0.007159249,0.001462132,0.0007819298,0.0008088105,0.01075604,0.002079695,0.848115],"genre_scores_gemma":[0.7971678,0.006224752,0.01103561,0.002354323,0.0004995939,0.0004817959,0.009514066,0.0002260642,0.1724959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0650083,"threshold_uncertainty_score":0.2174744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02755325766633737,"score_gpt":0.2329862379493363,"score_spread":0.2054329802829989,"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."}}