{"id":"W6964171315","doi":"10.25384/sage.7035089","title":"Supplemental Material, sj-pdf-1-ppq-10.1177_1354068818795196 - When the team’s jersey is what matters: Network analysis of party cohesion and structure in the Canadian House of Commons","year":2018,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"House of Commons; Cohesion (chemistry); Politics; Commons; Social network analysis; Network analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007360369,0.0001081373,0.0002563687,0.00003532961,0.0006483913,0.000149014,0.0008306088,0.0000842239,0.01970868],"category_scores_gemma":[0.00002301128,0.00003370801,0.0000522703,0.0003923574,0.0004268285,0.0003113068,0.0003780242,0.0001261504,0.00000904678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000178503,"about_ca_system_score_gemma":0.00001342853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04915362,"about_ca_topic_score_gemma":0.8649966,"domain_scores_codex":[0.9989069,0.0002304536,0.0002512648,0.0001810922,0.0001756423,0.0002546359],"domain_scores_gemma":[0.9993271,0.0001715399,0.0001980704,0.0001991591,0.000047285,0.00005686683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005103277,0.00003472327,0.5485772,0.00000480536,0.0004242723,0.000007182157,0.001834066,0.000002004111,0.00103998,0.000003025172,0.4446403,0.003381292],"study_design_scores_gemma":[0.0001314575,0.0001609764,0.9530084,0.00006425288,0.0003680142,0.000007307089,0.00760371,0.00003095307,0.0001819699,0.0002268057,0.03812232,0.00009380566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672021,0.000839096,1.230535e-7,0.02258968,0.0001034527,0.0001612798,0.009073382,0.000003264178,0.00002764136],"genre_scores_gemma":[0.9957191,0.00125541,0.00002686715,0.002320098,0.0001203184,9.565805e-7,0.0005312826,6.043089e-7,0.00002530875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.815843,"threshold_uncertainty_score":0.9811875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03858790831857975,"score_gpt":0.2497663101359045,"score_spread":0.2111784018173247,"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."}}