{"id":"W6968070815","doi":"10.5281/zenodo.16805105","title":"Ditaeniella parallela 1853","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Innovation and Industrial Efficiency","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Introduced species; Population; Taxonomy (biology); Freshwater mollusc","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00606814,0.0001164247,0.0001544435,0.0008448469,0.003042075,0.002426905,0.002219058,0.00008108615,0.04359521],"category_scores_gemma":[0.009221916,0.0001005987,0.00007565624,0.006121852,0.0002470693,0.0003392528,0.001196289,0.0002464532,0.1585686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000655826,"about_ca_system_score_gemma":0.000007652415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005192438,"about_ca_topic_score_gemma":1.256593e-7,"domain_scores_codex":[0.9963915,0.0004308245,0.0005372248,0.0006215052,0.001571917,0.000447046],"domain_scores_gemma":[0.9974529,0.0001529959,0.0001682687,0.0007724116,0.001275336,0.0001781517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001544339,0.00003595325,0.000003631662,0.000001643517,0.000004925654,0.000009870458,0.0005363069,0.0001907342,0.001239454,0.01479433,0.8267559,0.1564118],"study_design_scores_gemma":[0.0003099228,0.00007849406,0.0009245579,0.000005453877,0.00000213813,0.00002431044,0.0009912194,0.002585689,0.0002469893,0.002123495,0.9925809,0.0001268326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1247967,0.00002231482,0.006738614,0.007299982,0.001746208,0.0006159642,0.0002139971,0.002452767,0.8561135],"genre_scores_gemma":[0.962023,0.00001290398,0.0001164657,0.000375971,0.000318117,3.849228e-8,0.0007252185,0.0005734222,0.03585489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8372263,"threshold_uncertainty_score":0.9991238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2595321845033127,"score_gpt":0.3711383093846134,"score_spread":0.1116061248813007,"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."}}