{"id":"W6930064001","doi":"10.5281/zenodo.10278104","title":"Emerging Trends in Research - Survey Findings","year":2023,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Dementia Research Alliance","funders":"","keywords":"Alliance; Big data; Plan (archaeology); Equity (law); Key (lock); Data collection; Open research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03555383,0.0003514634,0.0005150302,0.009090443,0.001758288,0.007354228,0.001294598,0.001213264,0.006707259],"category_scores_gemma":[0.09736156,0.000450112,0.0005575235,0.02073478,0.001815103,0.00721903,0.004519511,0.00181428,0.001676894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006769447,"about_ca_system_score_gemma":0.01251971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03871352,"about_ca_topic_score_gemma":0.04748273,"domain_scores_codex":[0.9674133,0.009984458,0.00588186,0.003451111,0.009783296,0.003485879],"domain_scores_gemma":[0.8952309,0.04932728,0.01337493,0.00492043,0.03348591,0.003660511],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001914838,0.0001583741,0.7244621,0.004404531,0.0001331387,0.0004811722,0.1007566,0.0003784285,0.001304374,0.01803181,0.03347928,0.1162188],"study_design_scores_gemma":[0.00001213811,0.0001394933,0.4432893,0.002359947,0.00004343526,0.0005876207,0.3764739,0.0005642889,0.0007459624,0.002559249,0.1731509,0.00007388903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8078687,0.01170602,0.008631391,0.03893045,0.0006551469,0.001799951,0.06433445,0.0002646664,0.0658092],"genre_scores_gemma":[0.9414448,0.01024962,0.008005053,0.007666934,0.0002644752,0.002324724,0.02044228,0.0001519712,0.00945017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9644462,"threshold_uncertainty_score":0.1880289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1387200142502449,"score_gpt":0.3365593636859066,"score_spread":0.1978393494356617,"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."}}