{"id":"W6968483026","doi":"10.5281/zenodo.3867025","title":"Cylindroiulus latestriatus","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Woodland; Habitat; Nearctic ecozone; Baltic sea; Deciduous; Mediterranean climate","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":[0.00007900586,0.0006280381,0.0003802389,0.001740244,0.001179376,0.0003436719,0.0005480648,0.0003981077,0.02284197],"category_scores_gemma":[0.0003935068,0.000184022,0.0002446987,0.0008364007,0.0003811545,0.0008140788,0.0008623255,0.0003871641,0.006372272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007674818,"about_ca_system_score_gemma":0.0004180295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01272887,"about_ca_topic_score_gemma":0.02660636,"domain_scores_codex":[0.9998128,0.0000132748,0.00001722327,0.00004822161,0.00008104663,0.00002741324],"domain_scores_gemma":[0.9998248,0.00002455549,0.00006598669,0.00001388396,0.00005250162,0.0000182891],"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":[0.0002500512,0.0001060241,0.03912599,0.001093528,0.00005466173,0.002136829,0.0009847485,0.0008301501,0.02779188,0.003172763,0.03754418,0.8869092],"study_design_scores_gemma":[0.00005032385,0.0002088407,0.3828024,0.0005966051,0.00006659659,0.004717832,0.0009842719,0.0006956215,0.003304826,0.0009117205,0.6056315,0.0000294814],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2076605,0.0215621,0.004144942,0.0009155897,0.0009771388,0.0005873757,0.007746157,0.001184818,0.7552213],"genre_scores_gemma":[0.9320457,0.004551803,0.002735655,0.0007116419,0.0003720003,0.0002766613,0.005520489,0.00009639107,0.0536896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02284197,"threshold_uncertainty_score":0.07641399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04517814613254761,"score_gpt":0.2790864482421732,"score_spread":0.2339083021096256,"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."}}