{"id":"W4402933071","doi":"10.1002/gdj3.261","title":"Automation of historical weather data rescue","year":2024,"lang":"en","type":"article","venue":"Geoscience Data Journal","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Environment and Climate Change Canada","keywords":"Automation; Computer science; Aeronautics; Systems engineering; Data science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.002768541,0.00009396108,0.0001314984,0.0002882076,0.0001517305,0.0006093045,0.007041274,0.00004855855,0.0001113191],"category_scores_gemma":[0.0003486697,0.00007497044,0.00002841523,0.0007864323,0.00007869306,0.005623571,0.002103508,0.0002873823,0.0001020919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001471017,"about_ca_system_score_gemma":0.0003288448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005720982,"about_ca_topic_score_gemma":0.000007650876,"domain_scores_codex":[0.9980728,0.00009174051,0.0003905811,0.0005500024,0.0006546866,0.0002401768],"domain_scores_gemma":[0.9974452,0.00008913771,0.00009804939,0.002150445,0.00009944624,0.0001177166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000177072,0.00006141792,0.00007629843,0.00002811539,0.00001077048,0.00008205611,0.0002457883,0.000001682186,0.003064109,0.003881304,0.1998137,0.792733],"study_design_scores_gemma":[0.0001286377,0.0001287014,0.0009883562,0.0002946024,0.00002068226,0.001679296,0.00002744468,0.5786676,0.001437724,0.009561802,0.40679,0.0002751256],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007184593,0.0007532933,0.9945108,0.002063663,0.001052483,0.00006346284,0.0001768937,0.0002127409,0.0004482607],"genre_scores_gemma":[0.1063921,0.0007825525,0.8899748,0.0003790829,0.0006347764,0.000005171596,0.0002473943,0.00002071022,0.001563411],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7924579,"threshold_uncertainty_score":0.9983311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0765346719700735,"score_gpt":0.3237836979278009,"score_spread":0.2472490259577274,"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."}}