{"id":"W4313545740","doi":"","title":"Coq Community Survey 2022: Summary of Results","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Prevention of Organ Failure","funders":"","keywords":"Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01990002,0.002470619,0.002243386,0.01000374,0.0008252426,0.002143426,0.002504825,0.001641436,0.01470515],"category_scores_gemma":[0.02329912,0.001058465,0.003306048,0.01597769,0.0004110481,0.001496916,0.002931612,0.000909341,0.00937827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003594142,"about_ca_system_score_gemma":0.007496167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1456341,"about_ca_topic_score_gemma":0.13583,"domain_scores_codex":[0.9803806,0.007019512,0.002546358,0.001885885,0.006426007,0.001741637],"domain_scores_gemma":[0.9791567,0.00370268,0.002474692,0.001550024,0.01194422,0.001171655],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.004989235,0.0008847417,0.4568585,0.009215939,0.003035008,0.0002138929,0.0008647908,0.001929774,0.001175792,0.0006390222,0.4561512,0.06404219],"study_design_scores_gemma":[0.0004910934,0.000440751,0.8761299,0.0008645952,0.001033207,0.0001686383,0.001061312,0.0004610488,0.0009040061,0.0002089583,0.1181185,0.000117892],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02053965,0.001621251,0.001623913,0.0003919851,0.0002064217,0.002799973,0.9660705,0.0002281614,0.006518106],"genre_scores_gemma":[0.06696983,0.001576832,0.004372206,0.0009534563,0.0001771235,0.00928401,0.9034272,0.0003724358,0.0128669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9801,"threshold_uncertainty_score":0.2895727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05875055245693335,"score_gpt":0.339329320941702,"score_spread":0.2805787684847686,"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."}}