{"id":"W6949343653","doi":"10.5281/zenodo.14597126","title":"Cremnomymar kuscheli","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":"Natural Resources Canada","funders":"","keywords":"Holotype; Term (time); Subpoena","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":[0.00009561183,0.0004312274,0.0002261966,0.001147205,0.0007727392,0.0003243106,0.0004867646,0.0003357495,0.01640528],"category_scores_gemma":[0.0002711908,0.0001220635,0.0001024964,0.0006358587,0.0003388224,0.0005833288,0.0008909251,0.0003039049,0.004859834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005390016,"about_ca_system_score_gemma":0.000445683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01245,"about_ca_topic_score_gemma":0.0283974,"domain_scores_codex":[0.9999008,0.000005550282,0.000005987635,0.00003726278,0.00002945981,0.00002093039],"domain_scores_gemma":[0.9999322,0.000006071893,0.00002566645,0.00001127773,0.00001788063,0.000006940671],"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":[0.0004761986,0.0001072157,0.03697439,0.001100459,0.00007707016,0.003010723,0.003649008,0.0006799106,0.05469803,0.01059546,0.06061669,0.8280149],"study_design_scores_gemma":[0.00002638975,0.000154698,0.2146691,0.0004934137,0.00005040106,0.005828771,0.001496716,0.000195299,0.005497414,0.0006060503,0.7709492,0.00003244753],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4710312,0.01498567,0.00271115,0.0009367493,0.0003969045,0.0004200772,0.006645978,0.0005907632,0.5022814],"genre_scores_gemma":[0.8661551,0.006022513,0.002882791,0.00073189,0.0001065614,0.0001871696,0.003587434,0.00006669792,0.1202598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01640528,"threshold_uncertainty_score":0.05488116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03402201140702434,"score_gpt":0.2678764921432407,"score_spread":0.2338544807362164,"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."}}