{"id":"W6912545906","doi":"10.5281/zenodo.3793207","title":"Crenitis digesta","year":2008,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Hospital","funders":"","keywords":"Beaver; Lake ecosystem; Habitat; River ecosystem","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":[0.0002192404,0.0008527288,0.0003382913,0.002381399,0.001302376,0.001158198,0.0005388606,0.0005039583,0.01610001],"category_scores_gemma":[0.0004071295,0.0002067087,0.0002359481,0.001130068,0.0006735958,0.001041119,0.0007931537,0.0005126802,0.006107383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001975987,"about_ca_system_score_gemma":0.0007290495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08617925,"about_ca_topic_score_gemma":0.1101271,"domain_scores_codex":[0.9996735,0.00002085318,0.00002395078,0.0001373535,0.00009123359,0.00005303774],"domain_scores_gemma":[0.9998228,0.00001374245,0.00007414033,0.00001643652,0.00005425148,0.0000187048],"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":[0.0006062362,0.0001285922,0.05947471,0.002152676,0.0001465467,0.002581029,0.002144493,0.0005209726,0.09303709,0.00979722,0.04212984,0.7872807],"study_design_scores_gemma":[0.00002343302,0.0001293486,0.1850088,0.0003859556,0.00004689276,0.003420283,0.0004189239,0.0001697648,0.006754979,0.0003107981,0.8032938,0.00003701349],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2453805,0.06460822,0.00441571,0.0008868108,0.001023519,0.000514491,0.01123003,0.0009072879,0.6710334],"genre_scores_gemma":[0.6982194,0.01903612,0.006508268,0.001227642,0.0004287713,0.0001679317,0.0124084,0.0001377976,0.2618657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08617925,"threshold_uncertainty_score":0.1713552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03725829178508187,"score_gpt":0.2032552099890372,"score_spread":0.1659969182039553,"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."}}