{"id":"W2487943446","doi":"10.1503/cjs.009316","title":"Datum isn’t; data are","year":2016,"lang":"en","type":"editorial","venue":"Canadian Journal of Surgery","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Geodetic datum; Selection (genetic algorithm); Process (computing); Conflict of interest; MEDLINE; Data science; Information retrieval; Law; Artificial intelligence; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00251571,0.0002471691,0.0006739644,0.0006964985,0.0003688622,0.0009521689,0.001501639,0.0005165825,0.003705511],"category_scores_gemma":[0.006860022,0.0001907166,0.0001961638,0.0000372239,0.0002683419,0.001431422,0.00006515814,0.001820032,0.00005530176],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001937939,"about_ca_system_score_gemma":0.008237564,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008551561,"about_ca_topic_score_gemma":0.04072668,"domain_scores_codex":[0.9977382,0.0001077035,0.0007898789,0.0002536052,0.000564325,0.0005462492],"domain_scores_gemma":[0.994355,0.002247417,0.001257361,0.0005796057,0.0007712549,0.0007894174],"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":[0.000004593478,0.000002260449,0.0001716833,0.00005917699,0.00006971471,0.0003573017,0.0005319089,8.123475e-8,6.024344e-8,0.0002735044,0.9964364,0.00209329],"study_design_scores_gemma":[0.00007329721,0.000005592749,0.00001130791,0.001723677,0.00006064294,0.00001983167,0.0006790115,4.627849e-7,1.584549e-7,0.0001992601,0.9969708,0.0002559989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005317055,0.004684192,0.000004338716,0.002603223,0.966778,0.00002717713,0.006271281,0.00001219358,0.01956647],"genre_scores_gemma":[0.0008184462,0.0003229491,0.000006975117,0.0002270045,0.9752128,5.497667e-7,0.0005579934,0.00006157855,0.02279174],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03217512,"threshold_uncertainty_score":0.9980506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107774986657846,"score_gpt":0.261078138011637,"score_spread":0.1533031513537909,"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."}}