{"id":"W4393777359","doi":"10.5281/zenodo.6908728","title":"ab initio REPEAT Charge MOF Database (ARC-MOF)","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Arc (geometry); Ab initio; Charge (physics); Database; Materials science; Computer science; Chemistry; Physics; Engineering; Mechanical engineering","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000511586,0.0003749839,0.0003189006,0.0004450822,0.001979713,0.0005297791,0.001734749,0.0001133782,0.2623076],"category_scores_gemma":[0.0004040856,0.0004557421,0.00009101808,0.0006622121,0.000121806,0.0004750597,0.002107108,0.001279423,0.01226515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003356281,"about_ca_system_score_gemma":0.00000563599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000186997,"about_ca_topic_score_gemma":4.509027e-7,"domain_scores_codex":[0.9974898,0.0002329217,0.0004204096,0.0006161731,0.0006090066,0.0006317384],"domain_scores_gemma":[0.9981365,0.00003465753,0.0001193352,0.001260818,0.0002039456,0.000244732],"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":[0.0000250912,0.00007285873,6.606687e-8,0.0003456468,0.0000699864,0.0001284774,0.00011997,0.0004750718,0.0005070469,0.00012669,0.9907502,0.007378884],"study_design_scores_gemma":[0.0003921562,0.00007706917,0.000002810441,0.00006598842,0.00004082515,0.0001714925,0.0001267958,0.0003524925,0.0001513384,0.00003108342,0.9981223,0.0004656944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004821228,0.0004509728,0.001055513,0.00009974028,0.0004403757,0.0004350156,0.9759526,0.001734889,0.01978269],"genre_scores_gemma":[0.0002616703,0.00181141,0.0001124306,0.0001854119,0.000324875,2.957679e-7,0.9943699,0.002355941,0.000578059],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2500425,"threshold_uncertainty_score":0.9997894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819373415770448,"score_gpt":0.2409226841903088,"score_spread":0.2127289500326043,"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."}}