{"id":"W6945793180","doi":"10.25384/sage.25859250","title":"Appendix A","year":2024,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Appendix; Calculus (dental); Ordinal Scale","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003118576,0.0009174096,0.0009638651,0.004500242,0.001298946,0.00139858,0.001556709,0.001131174,0.7598639],"category_scores_gemma":[0.04810344,0.0006599299,0.0007300238,0.004395931,0.0004635823,0.001372223,0.001309959,0.001585425,0.4341097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623947,"about_ca_system_score_gemma":0.005365772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01455582,"about_ca_topic_score_gemma":0.02450217,"domain_scores_codex":[0.9980599,0.000586108,0.0003356811,0.000206874,0.000627568,0.0001838691],"domain_scores_gemma":[0.9663747,0.01748045,0.001000097,0.001953337,0.01239462,0.000796882],"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":[0.0000906526,0.0001310711,0.0007783012,0.0003040511,0.00000655184,0.00002809385,0.00005451425,0.0001050104,0.00006783121,0.0008029328,0.9699709,0.02766013],"study_design_scores_gemma":[0.0003103202,0.00008470602,0.008385057,0.0008169801,0.00001998425,0.0002009667,0.0003379088,0.0002156017,0.0002303855,0.006803251,0.982551,0.0000438029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002461633,0.0004096604,0.007069143,0.001799865,0.001125949,0.006410505,0.8229361,0.001733907,0.1560533],"genre_scores_gemma":[0.0103646,0.001333723,0.03980654,0.006344957,0.0004559905,0.02846868,0.718015,0.001891587,0.193319],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2401361,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1245504695774467,"score_gpt":0.2661496802933624,"score_spread":0.1415992107159156,"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."}}