{"id":"W7110640628","doi":"","title":"","year":2020,"lang":"en","type":"report","venue":"Repositori digital de la UPF (Universitat Pompeu Fabra)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Climate change; Latitude; China; Degree (music); Global warming","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.002124556,0.004515861,0.005178772,0.002717637,0.001861843,0.007943791,0.005685245,0.004789116,0.00006236861],"category_scores_gemma":[0.004006146,0.005688401,0.004336415,0.005516642,0.002017346,0.01084853,0.004310373,0.00639265,0.001727832],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02002619,"about_ca_system_score_gemma":0.01345606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002105131,"about_ca_topic_score_gemma":0.00006235268,"domain_scores_codex":[0.9747087,0.001443866,0.002747426,0.006128812,0.01047089,0.004500352],"domain_scores_gemma":[0.9798916,0.0029197,0.004415169,0.004237286,0.003933594,0.00460266],"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":[0.003879728,0.00302253,0.09643549,0.004034413,0.01520745,0.1539884,0.0109515,0.000729006,0.02096794,0.005625343,0.6761568,0.009001452],"study_design_scores_gemma":[0.004843371,0.001506178,0.02406721,0.002088344,0.003851039,0.02341483,0.009172871,0.0004033862,0.001707293,0.00105149,0.9201996,0.007694362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0886592,0.002795154,0.001562813,0.001745956,0.008249453,0.003038605,0.0078031,0.007811381,0.8783343],"genre_scores_gemma":[0.9582858,0.0006047987,0.001747858,0.0001936394,0.00805928,0.00006797814,0.005546836,0.002371596,0.02312223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8696266,"threshold_uncertainty_score":0.9996945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667360061666633,"score_gpt":0.2632360565078741,"score_spread":0.2465624558912078,"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."}}