{"id":"W6912623981","doi":"10.5281/zenodo.3867273","title":"Cylindroiulus fenestratus Read 1989","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; Eucalyptus; Fishing; Natural (archaeology)","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":[0.00009690356,0.0004318204,0.0001876088,0.001129456,0.000780777,0.0002166002,0.0003943665,0.0004244843,0.01374639],"category_scores_gemma":[0.0003427844,0.0001569794,0.0001304277,0.0004711162,0.0003108279,0.0003779918,0.0003735058,0.0001959202,0.006728669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003961076,"about_ca_system_score_gemma":0.0001804097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01760676,"about_ca_topic_score_gemma":0.04575123,"domain_scores_codex":[0.9998674,0.000009359981,0.00001300084,0.00004783687,0.00003641712,0.00002589379],"domain_scores_gemma":[0.9997199,0.00003643127,0.0001090915,0.00003121289,0.00006967636,0.00003367205],"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":[0.0005381358,0.0001784199,0.1318645,0.0004618402,0.00004102385,0.002289278,0.0007160614,0.0008066666,0.0332013,0.001881601,0.01890089,0.8091203],"study_design_scores_gemma":[0.00004288746,0.0003402708,0.8769167,0.0003097625,0.00002911161,0.004434376,0.0007396652,0.000390764,0.003732385,0.0004234953,0.1126163,0.00002421659],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.525362,0.009341237,0.003138598,0.0005540263,0.0002826311,0.0002352116,0.004137049,0.0003540768,0.4565952],"genre_scores_gemma":[0.9088584,0.002808276,0.002305096,0.000323314,0.00008846233,0.0001067705,0.004793537,0.00002480047,0.08069149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01760676,"threshold_uncertainty_score":0.04598624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0469718181884152,"score_gpt":0.2831165578835446,"score_spread":0.2361447396951294,"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."}}