{"id":"W4393654257","doi":"10.5281/zenodo.3519364","title":"Buffer screen by DSLS of C-HEAT and N-HEAT domains","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium","funders":"","keywords":"Buffer (optical fiber); Computer science; Telecommunications","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":[0.001521274,0.004083774,0.002419349,0.002440989,0.001617544,0.002804929,0.003885805,0.003023053,0.03802429],"category_scores_gemma":[0.004556014,0.0008325633,0.002626499,0.003216484,0.0006157514,0.001561357,0.001675296,0.002792977,0.05368714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564061,"about_ca_system_score_gemma":0.002460312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01219886,"about_ca_topic_score_gemma":0.0264143,"domain_scores_codex":[0.9982954,0.0002159808,0.0001428484,0.0007069403,0.0004111154,0.0002277176],"domain_scores_gemma":[0.998413,0.000547305,0.0001056294,0.000528387,0.0002884405,0.00011737],"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":[0.0006948481,0.0001633113,0.002703387,0.002796673,0.0002299126,0.00008597745,0.00004301692,0.001835532,0.006515059,0.00151002,0.9764932,0.006928944],"study_design_scores_gemma":[0.001290409,0.0002053407,0.009823267,0.0004818405,0.0003433315,0.0002266382,0.0001504019,0.006244605,0.02127245,0.006146742,0.9536819,0.0001330194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001957033,0.0004528037,0.0004535789,0.000131156,0.00008624377,0.00003238632,0.9917033,0.003435122,0.001748254],"genre_scores_gemma":[0.002030695,0.0001135907,0.00104156,0.00009054979,0.000007043264,0.00009819998,0.995649,0.0002865912,0.0006827884],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03802429,"threshold_uncertainty_score":0.1272039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02075003008359183,"score_gpt":0.2782788794203753,"score_spread":0.2575288493367835,"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."}}