{"id":"W2799282311","doi":"10.26685/urncst.39","title":"Research Fundamentals: Data Collection, Data Analysis, and Ethics","year":2018,"lang":"en","type":"article","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Publishing; Data collection; Key (lock); Data science; Engineering ethics; Computer science; Management science; Sociology; Social science; Political science; Engineering","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":[0.286775,0.001881931,0.002791977,0.004818758,0.004054376,0.01445213,0.003956689,0.00859357,0.008781744],"category_scores_gemma":[0.4501132,0.002038771,0.00140822,0.004992366,0.01677943,0.01166348,0.005388093,0.02337795,0.01002509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004416118,"about_ca_system_score_gemma":0.02753163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001197899,"about_ca_topic_score_gemma":0.001297053,"domain_scores_codex":[0.668156,0.2412616,0.0344767,0.005721423,0.04857682,0.001807611],"domain_scores_gemma":[0.43218,0.4558155,0.01805692,0.02935388,0.05928831,0.005305442],"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":[0.0002522508,0.0002411944,0.0007589838,0.007994148,0.0001013272,0.0003659155,0.0120207,0.0003979196,0.001454838,0.1624666,0.4444893,0.3694569],"study_design_scores_gemma":[0.00006616307,0.0002248499,0.0009070286,0.007107488,0.00004432537,0.0007234394,0.00153892,0.0005025351,0.0008226153,0.09410772,0.8938284,0.0001265496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001680296,0.04915895,0.462159,0.3304693,0.1071263,0.01274847,0.001527822,0.001475804,0.03365408],"genre_scores_gemma":[0.01525967,0.0698711,0.7067002,0.08099773,0.07431938,0.03552155,0.001217216,0.00164053,0.0144726],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.286775,"threshold_uncertainty_score":0.8795335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7226965072368479,"score_gpt":0.6857643166640438,"score_spread":0.03693219057280406,"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."}}