{"id":"W4393720555","doi":"10.5281/zenodo.3515478","title":"Nickel and FLAG Pull-Down Results From HTT With Putative Interaction Partners","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Superconducting Materials and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Flag (linear algebra); Mathematics; Algebra over a field","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002224164,0.0002228592,0.0002171274,0.0001457538,0.0005384869,0.0007199526,0.000449133,0.0001224043,0.002855053],"category_scores_gemma":[0.0002005405,0.0002127921,0.00002478795,0.0002096052,0.00009389011,0.0002482803,0.0003405606,0.0003734465,0.006159285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001052027,"about_ca_system_score_gemma":0.00000306664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001272592,"about_ca_topic_score_gemma":0.000002276667,"domain_scores_codex":[0.9987099,0.0001194624,0.0002730099,0.0004487224,0.0002073646,0.0002415472],"domain_scores_gemma":[0.999039,0.00005874675,0.00009462365,0.0005076424,0.0001901845,0.0001098344],"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":[0.00006088531,0.00002459353,6.85863e-8,0.00007201672,0.00007943174,0.000004391596,0.0003622449,0.0005399664,0.002620072,0.00001525909,0.9934194,0.002801656],"study_design_scores_gemma":[0.0004723714,0.00008765169,0.00002050828,0.00008072007,0.00004155847,0.0000349771,0.0004738813,0.0003465987,0.0005974161,0.00001630091,0.9975792,0.0002487758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01347019,0.00004530828,0.0001790941,0.0001426969,0.0002186417,0.0004472309,0.9811845,0.0005029656,0.003809376],"genre_scores_gemma":[0.01457301,0.0002835974,0.0001395599,0.00003048527,0.0001983024,1.826806e-7,0.9838099,0.0008024889,0.0001624489],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004159826,"threshold_uncertainty_score":0.9980565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04651880232836209,"score_gpt":0.2664737418730686,"score_spread":0.2199549395447065,"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."}}