{"id":"W6893003968","doi":"10.5281/zenodo.14597125","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":[0.00009561201,0.0004312272,0.0002261968,0.001147205,0.0007727392,0.0003243106,0.0004867641,0.0003357497,0.01640525],"category_scores_gemma":[0.0002711913,0.0001220635,0.0001024963,0.0006358587,0.0003388223,0.0005833291,0.0008909247,0.0003039052,0.004859829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005390011,"about_ca_system_score_gemma":0.0004456827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01244999,"about_ca_topic_score_gemma":0.02839736,"domain_scores_codex":[0.9999008,0.000005550288,0.000005987635,0.00003726282,0.00002945986,0.00002093037],"domain_scores_gemma":[0.9999322,0.000006071905,0.0000256665,0.00001127776,0.00001788068,0.000006940685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004761983,0.0001072157,0.03697445,0.001100459,0.00007707014,0.00301072,0.003649009,0.0006799112,0.05469804,0.01059547,0.06061667,0.8280148],"study_design_scores_gemma":[0.00002638974,0.0001546981,0.2146694,0.0004934137,0.00005040104,0.005828769,0.001496717,0.0001952993,0.005497414,0.0006060507,0.7709489,0.00003244755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4710316,0.01498567,0.002711148,0.0009367493,0.0003969046,0.0004200772,0.006645979,0.0005907627,0.502281],"genre_scores_gemma":[0.8661553,0.006022509,0.002882791,0.0007318901,0.0001065615,0.0001871696,0.003587432,0.00006669787,0.1202596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01640525,"threshold_uncertainty_score":0.05488104,"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."}}