{"id":"W6950373275","doi":"10.5281/zenodo.4863080","title":"Natural Materials Analysis Spectrum","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Triacetin; Emperipolesis; Demotion","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":[0.002265702,0.002136854,0.001581745,0.004132739,0.002209174,0.004472112,0.002652953,0.002070367,0.3804881],"category_scores_gemma":[0.003813045,0.001507298,0.001602656,0.003040399,0.0008879026,0.00613067,0.003869828,0.002252491,0.2930533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692778,"about_ca_system_score_gemma":0.002450572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002812303,"about_ca_topic_score_gemma":0.005679653,"domain_scores_codex":[0.9979929,0.0001524261,0.0001242951,0.0004917078,0.001076665,0.0001620288],"domain_scores_gemma":[0.9972895,0.0003920369,0.00009765758,0.0008215351,0.001193221,0.0002060125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000391247,0.0001033759,0.0006126541,0.001656811,0.00008111709,0.0002741062,0.0002368888,0.00050334,0.02850174,0.01059564,0.8599698,0.09707323],"study_design_scores_gemma":[0.00005867549,0.00003001215,0.0008843438,0.0001420751,0.00003101257,0.0002681761,0.0001127803,0.001596602,0.01784079,0.005664425,0.9733031,0.0000679576],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005108958,0.003268857,0.1593103,0.002377782,0.00136052,0.001383536,0.1853466,0.2695822,0.3722613],"genre_scores_gemma":[0.04632184,0.004558699,0.1670471,0.002738227,0.0004665103,0.004470072,0.3171768,0.1065442,0.3506765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3804881,"threshold_uncertainty_score":0.8836586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722379525031199,"score_gpt":0.2503817812520679,"score_spread":0.2331579860017559,"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."}}