{"id":"W6892887409","doi":"10.5281/zenodo.12551938","title":"Wegeneriona undetermined","year":2024,"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":"University of Guelph","funders":"","keywords":"Sample (material); Plateau (mathematics); Scale (ratio); Population","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":[0.0002385531,0.0007472674,0.0005073014,0.001546484,0.001973136,0.0006869389,0.0007707253,0.0009249648,0.0187058],"category_scores_gemma":[0.00104655,0.000325446,0.0003153184,0.001050654,0.0008535888,0.00157432,0.001387793,0.0007153804,0.005385702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008857854,"about_ca_system_score_gemma":0.0006986061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01065237,"about_ca_topic_score_gemma":0.02352122,"domain_scores_codex":[0.9994873,0.00002973153,0.00004577679,0.0002389122,0.0001058058,0.00009249088],"domain_scores_gemma":[0.9995387,0.00008226254,0.0001458648,0.00009414354,0.00009010378,0.0000490762],"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":[0.001421346,0.0002884978,0.08674855,0.001220454,0.0001444618,0.01001019,0.003918154,0.001263683,0.0729697,0.01715316,0.03305878,0.771803],"study_design_scores_gemma":[0.00008751226,0.0003935636,0.4110842,0.0007242893,0.0002460009,0.01784217,0.002515798,0.001207669,0.006876488,0.004259295,0.5546796,0.00008334924],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5434558,0.007820554,0.01048287,0.001411711,0.001750292,0.000404298,0.007269065,0.001233701,0.4261718],"genre_scores_gemma":[0.9364085,0.0008354925,0.005476276,0.0005239929,0.00009384681,0.00005758996,0.002053102,0.00004804943,0.05450314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0187058,"threshold_uncertainty_score":0.06257707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03512683596454962,"score_gpt":0.2680305826850296,"score_spread":0.2329037467204799,"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."}}