{"id":"W6893534967","doi":"10.5281/zenodo.3867226","title":"Cylindroiulus truncorum","year":2017,"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":"BC Research (Canada)","funders":"","keywords":"Woodland; Nearctic ecozone; Confusion; Habitat; Period (music)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001088343,0.0005562203,0.0002362617,0.001512785,0.0009589969,0.0002760845,0.0003712088,0.0003334746,0.01676693],"category_scores_gemma":[0.0003799785,0.0001549921,0.0002095556,0.000624163,0.0003295543,0.0006285533,0.0007352908,0.000246135,0.006562375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004902219,"about_ca_system_score_gemma":0.0001965077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006154295,"about_ca_topic_score_gemma":0.01091456,"domain_scores_codex":[0.9998195,0.00001841741,0.00001787722,0.00005610205,0.00005865534,0.00002958263],"domain_scores_gemma":[0.9997928,0.00003232506,0.00009470441,0.00001482524,0.00003541705,0.00002998285],"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":[0.0005426216,0.0001727141,0.1046053,0.001069763,0.00009331678,0.002911134,0.001473289,0.001620248,0.06894829,0.003343536,0.02055684,0.7946628],"study_design_scores_gemma":[0.00006181287,0.0006752544,0.7642779,0.0004848267,0.00006912251,0.008169925,0.001028174,0.001491384,0.004949715,0.0007886066,0.2179607,0.00004255388],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4973879,0.01296824,0.006243754,0.0004449092,0.0004625111,0.0005212891,0.007157421,0.0009221288,0.4738919],"genre_scores_gemma":[0.9660863,0.001753842,0.00194241,0.0002618547,0.0001487763,0.00009539953,0.003262457,0.0000197166,0.02642928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01676693,"threshold_uncertainty_score":0.05609101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506375947359748,"score_gpt":0.2349848041214805,"score_spread":0.209921044647883,"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."}}