{"id":"W6911253435","doi":"10.5281/zenodo.10167136","title":"Philhygra pseudolaevicollis Klimaszewski, Brunke, Pentinsaari","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":"Litter; Plant litter; Sphagnum; Riparian zone; Wetland; Hydrology (agriculture)","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":[0.0001707474,0.0009818971,0.0006095832,0.002803294,0.001399901,0.0005915812,0.0007108875,0.0006322282,0.03720862],"category_scores_gemma":[0.000341572,0.0004244713,0.0002501114,0.001375952,0.0007006591,0.001435514,0.001150368,0.0009457934,0.01804917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006948536,"about_ca_system_score_gemma":0.0004178657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007064929,"about_ca_topic_score_gemma":0.0222603,"domain_scores_codex":[0.9997805,0.00002855761,0.00002119628,0.00007660816,0.00005637618,0.00003680154],"domain_scores_gemma":[0.9998647,0.00002774197,0.00004528957,0.00001407953,0.00002473191,0.00002344261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008086503,0.0002985636,0.008903739,0.001716559,0.00007269674,0.002536808,0.001799693,0.001106887,0.04135171,0.006635844,0.05694218,0.8778266],"study_design_scores_gemma":[0.0001113557,0.0003542531,0.1413922,0.0008247141,0.000103166,0.005974528,0.00176239,0.0006033772,0.005470273,0.001966458,0.8413778,0.00005954415],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1533064,0.03778147,0.01179958,0.002286956,0.001583292,0.0008638249,0.01055798,0.001282993,0.7805375],"genre_scores_gemma":[0.7622344,0.01522114,0.01292296,0.001399253,0.0003865251,0.0005513885,0.009026809,0.0002273095,0.1980301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03720862,"threshold_uncertainty_score":0.1244752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02710715725773175,"score_gpt":0.2297510383095353,"score_spread":0.2026438810518036,"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."}}