{"id":"W6892840318","doi":"10.5281/zenodo.12773479","title":"Bathythrix sericea","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Action (physics); Field (mathematics); Natural (archaeology)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001456396,0.0006583294,0.0002900972,0.00105175,0.0009197294,0.0002769803,0.0003294921,0.0002009176,0.01297764],"category_scores_gemma":[0.0003690847,0.0001736448,0.0001612989,0.0005050306,0.0005422056,0.0006393504,0.0008065305,0.0003618302,0.003378224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002359578,"about_ca_system_score_gemma":0.0002598299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005215779,"about_ca_topic_score_gemma":0.01124105,"domain_scores_codex":[0.9998845,0.00001243863,0.00001094673,0.00003966325,0.00003623103,0.00001623058],"domain_scores_gemma":[0.9998829,0.00001349652,0.00003568852,0.00001877835,0.00002874838,0.00002043901],"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":[0.001077207,0.0001296203,0.06719567,0.002121493,0.00009413264,0.005843196,0.003414953,0.001635127,0.1163433,0.005694116,0.02366119,0.77279],"study_design_scores_gemma":[0.0001496727,0.0005886053,0.6872379,0.0008975369,0.0001379166,0.01573242,0.002252246,0.0008116822,0.006678569,0.001768691,0.2837032,0.00004157826],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6302537,0.01602144,0.005744364,0.0003590188,0.000519291,0.0002885016,0.002550646,0.0004655098,0.3437975],"genre_scores_gemma":[0.9636638,0.003775652,0.00315869,0.000206877,0.0000987158,0.00006437554,0.00142586,0.00004366219,0.02756251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01297764,"threshold_uncertainty_score":0.04341447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03654040872992455,"score_gpt":0.2053512897881347,"score_spread":0.1688108810582101,"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."}}