{"id":"W2463015236","doi":"10.5153/sro.3827","title":"The Biographical Network Method","year":2016,"lang":"en","type":"article","venue":"Sociological Research Online","topic":"Social and Cultural Dynamics","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Dynamism; Relation (database); Sociology; Cosmopolitanism; Social network analysis; Visualization; Computer science; Epistemology; Social science; Artificial intelligence; Social capital; Politics; Law; Data mining; Political 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":[],"consensus_categories":[],"category_scores_codex":[0.009257445,0.001015083,0.0006497781,0.01584248,0.002056099,0.006078646,0.00255266,0.001356304,0.04438167],"category_scores_gemma":[0.03136621,0.0006626851,0.0007349594,0.01380181,0.002686288,0.008557615,0.005664744,0.001725592,0.006879551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002675143,"about_ca_system_score_gemma":0.004803567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004750306,"about_ca_topic_score_gemma":0.004580676,"domain_scores_codex":[0.9869272,0.008555405,0.0009222005,0.001560165,0.00177108,0.0002639547],"domain_scores_gemma":[0.9766967,0.01400844,0.001687148,0.003880903,0.002895826,0.0008308178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001195736,0.0001035398,0.004512801,0.001635151,0.00008969668,0.0002391009,0.01495664,0.001356561,0.001211125,0.5241271,0.04860909,0.4030397],"study_design_scores_gemma":[0.00003459055,0.00003619535,0.002478855,0.0008403055,0.0000383937,0.0005701786,0.009885859,0.006538579,0.0009738649,0.1601289,0.8184192,0.00005506833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0103194,0.002190733,0.8455293,0.002655178,0.001117127,0.004283109,0.01317917,0.002287626,0.1184385],"genre_scores_gemma":[0.1156283,0.00283711,0.8254058,0.0007079619,0.0004115334,0.01269138,0.008390099,0.0009159165,0.03301181],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04438167,"threshold_uncertainty_score":0.1484715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2722365022771613,"score_gpt":0.5665851940040558,"score_spread":0.2943486917268945,"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."}}