{"id":"W6968710762","doi":"10.5281/zenodo.4321713","title":"open-reaction-database/ord-data: v0.1.0","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Semtech (Canada)","funders":"","keywords":"Merge (version control); Upload; Workflow; Huffman coding","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006958021,0.004275114,0.004244883,0.003640043,0.002204753,0.01305809,0.009348813,0.004394823,0.4005334],"category_scores_gemma":[0.01918478,0.004812378,0.004527778,0.004360543,0.00113199,0.007810758,0.006479319,0.006810943,0.6111776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003066319,"about_ca_system_score_gemma":0.006188123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005808124,"about_ca_topic_score_gemma":0.005826295,"domain_scores_codex":[0.9945934,0.0006956387,0.000543218,0.001290091,0.002298331,0.000579156],"domain_scores_gemma":[0.9929993,0.001067476,0.0003841995,0.002643969,0.002390705,0.0005143495],"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":[0.0002529522,0.00004253553,0.0004947472,0.001500211,0.0001140395,0.00007115294,0.00009845454,0.0003266724,0.002038642,0.002581671,0.9824138,0.01006504],"study_design_scores_gemma":[0.0001051739,0.00002170665,0.0003830052,0.0002076804,0.00004149594,0.0001114742,0.00006938322,0.0005935706,0.007844286,0.003808582,0.9867141,0.00009950381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006256273,0.001107524,0.03772154,0.001152032,0.001395829,0.0003558142,0.6061471,0.3223598,0.02913471],"genre_scores_gemma":[0.005397277,0.001280678,0.02705947,0.001647601,0.0001353476,0.001003905,0.7302614,0.2067114,0.02650299],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4005334,"threshold_uncertainty_score":0.8550663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.091798532114809,"score_gpt":0.3034298166862543,"score_spread":0.2116312845714453,"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."}}