{"id":"W2411471383","doi":"10.1039/b301667f","title":"In Profile: Peter D. Wentzell, Dalhousie University","year":2003,"lang":"en","type":"article","venue":"The Analyst","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Regional science; Environmental science; Library science; Sociology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006939189,0.0000387436,0.00006552305,0.00002120573,0.0003719083,0.00002862876,0.0002866255,0.00002963623,0.0006572895],"category_scores_gemma":[0.00006842612,0.00002862972,0.00004305176,0.0007552658,0.0002246008,0.0001633091,0.00001697689,0.00006711145,0.0001005879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006865564,"about_ca_system_score_gemma":0.0001304697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02815628,"about_ca_topic_score_gemma":0.07497068,"domain_scores_codex":[0.9991734,0.0002234394,0.00005659533,0.000109375,0.0002326272,0.0002045759],"domain_scores_gemma":[0.9997321,0.00005159221,0.00004752878,0.0001051913,0.00002097837,0.00004262519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001668768,0.0001084784,0.1464647,0.000003615409,0.00002805501,0.00005361416,0.05893809,0.00004773369,0.0001276213,0.734983,0.05757466,0.001653741],"study_design_scores_gemma":[0.0001106184,0.000006656174,0.03433517,0.000003387795,0.000009834377,2.180372e-7,0.01398828,0.00001356926,0.00002725798,0.001620729,0.9498073,0.00007695408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5187496,0.00009138185,0.00004463903,0.004796417,0.0001973143,0.0001091074,0.000002319058,0.00001671025,0.4759925],"genre_scores_gemma":[0.9582194,0.00009900468,0.00003906077,0.0002400887,0.00006471066,4.986305e-7,1.579819e-7,0.000001675725,0.04133538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8922327,"threshold_uncertainty_score":0.9783153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01978966446198547,"score_gpt":0.2799980103620688,"score_spread":0.2602083459000833,"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."}}