{"id":"W2891376554","doi":"10.23889/ijpds.v3i4.851","title":"Through the legal maze: An Act Respecting Research","year":2018,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of New Brunswick; University of New Brunswick","funders":"","keywords":"Legislature; Government (linguistics); Legislation; Public administration; Political science; Public relations; Sociology; Law","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","sts"],"consensus_categories":[],"category_scores_codex":[0.150089,0.001295682,0.001416822,0.002579419,0.0276282,0.02968961,0.007202713,0.05063103,0.006666711],"category_scores_gemma":[0.1576665,0.002200306,0.002280734,0.002812037,0.09344675,0.02205049,0.02116491,0.0585887,0.004221703],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03626025,"about_ca_system_score_gemma":0.1384598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1279949,"about_ca_topic_score_gemma":0.1449775,"domain_scores_codex":[0.7734114,0.1083914,0.01793852,0.02290761,0.05971144,0.01763962],"domain_scores_gemma":[0.8120935,0.1014309,0.00944054,0.03047746,0.03542031,0.01113726],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001931051,0.00003436435,0.0003549882,0.00006295954,0.000007454563,0.0004209424,0.0194597,0.0001493645,0.000301222,0.8573489,0.1131807,0.008660204],"study_design_scores_gemma":[0.00002260702,0.00002389668,0.0002272237,0.0004419924,0.0000148745,0.0002504421,0.004719068,0.0001779104,0.0003687637,0.05689604,0.9367735,0.00008369998],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004476675,0.003758615,0.02895743,0.7483656,0.01904412,0.0008707538,0.0002521448,0.0004748646,0.1937997],"genre_scores_gemma":[0.1363167,0.002833831,0.04680515,0.6488809,0.00650807,0.001524374,0.0003133086,0.0005321623,0.1562854],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9723718,"threshold_uncertainty_score":0.7937559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8484221759474988,"score_gpt":0.7452109123072294,"score_spread":0.1032112636402694,"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."}}