{"id":"W6949321917","doi":"10.5281/zenodo.15296715","title":"Cliorismia Enderlein 1927","year":2025,"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":"Royal British Columbia Museum","funders":"","keywords":"Western europe; Fauna","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":[0.0002303103,0.000708657,0.0003347321,0.001882505,0.001429824,0.0006715081,0.0006905539,0.0008266227,0.00890913],"category_scores_gemma":[0.0006319652,0.0001992848,0.0002174117,0.0009033293,0.0005556107,0.0009748877,0.001070946,0.0006605211,0.003056929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006556732,"about_ca_system_score_gemma":0.0005279575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008774106,"about_ca_topic_score_gemma":0.01280633,"domain_scores_codex":[0.9997253,0.00002298707,0.0000281509,0.00008553728,0.00008758812,0.0000504023],"domain_scores_gemma":[0.9997231,0.00004993366,0.00006361101,0.00002597022,0.0001014843,0.00003580291],"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":[0.0007010511,0.0002056149,0.04710376,0.001080664,0.00005137888,0.006494081,0.002360008,0.001687962,0.151019,0.007136065,0.01576902,0.7663913],"study_design_scores_gemma":[0.0002049557,0.0009746728,0.2209864,0.001301533,0.000123415,0.01817043,0.002590627,0.001498152,0.0204102,0.002737223,0.7308904,0.0001120665],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5345798,0.0181192,0.01211975,0.001412718,0.0008794296,0.0005627042,0.003191666,0.0008680305,0.4282667],"genre_scores_gemma":[0.9547537,0.00346396,0.003897665,0.0006739941,0.0001438856,0.0001101531,0.001870855,0.00003450693,0.03505131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00890913,"threshold_uncertainty_score":0.02980405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02818815657379058,"score_gpt":0.273016300924563,"score_spread":0.2448281443507724,"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."}}