{"id":"W4393556291","doi":"10.5281/zenodo.3629715","title":"ePSproc: DABCO wavefn run, HOMO ioinzation (orb 31 A1P), 0.01 - 5.01eV high res","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Orb (optics); DABCO; Computer science; Biology; Artificial intelligence","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":[0.0008075971,0.003236209,0.001847048,0.002079503,0.001514998,0.003271278,0.004592098,0.002650016,0.2844013],"category_scores_gemma":[0.003028189,0.001456371,0.001645544,0.00467915,0.0004489087,0.002702354,0.001885228,0.003018541,0.3245703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001891699,"about_ca_system_score_gemma":0.001889161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02646928,"about_ca_topic_score_gemma":0.04140645,"domain_scores_codex":[0.9994743,0.00006868355,0.00003660988,0.0001507331,0.0001562383,0.0001135211],"domain_scores_gemma":[0.998934,0.0002647288,0.00007768212,0.000315941,0.0002909971,0.0001166663],"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":[0.00002869833,0.00000743849,0.0001544989,0.0002517759,0.0000147433,0.00001018974,0.000008920443,0.0001906255,0.00007393456,0.0003184522,0.9980793,0.0008613237],"study_design_scores_gemma":[0.0003696021,0.00001154411,0.002245146,0.0001584703,0.00003334709,0.00003675765,0.00004666088,0.0007598682,0.001049227,0.003314029,0.9919269,0.00004840793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001147685,0.00004914722,0.0001698291,0.00007134019,0.00004091225,0.000008820733,0.9926952,0.003825447,0.003024504],"genre_scores_gemma":[0.0006570307,0.00006899719,0.0007149025,0.00007985195,0.000011521,0.00007585263,0.9937986,0.002583181,0.002010169],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2844013,"threshold_uncertainty_score":0.9514172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02320252686322204,"score_gpt":0.2798606487893783,"score_spread":0.2566581219261563,"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."}}