{"id":"W4380288088","doi":"10.5281/zenodo.8026788","title":"ANALYSIS OF SCHOLARLY SOURCES ON CANADIAN POLITICAL PARTIES","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Political Science Research and Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Political science; Scholarly communication; Law; Publishing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00757613,0.001022774,0.0009737989,0.1847368,0.01319956,0.01117964,0.001973164,0.001074779,0.01378036],"category_scores_gemma":[0.05806294,0.0004738297,0.00056911,0.251659,0.003338713,0.002136789,0.005942204,0.00111758,0.00121486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05365913,"about_ca_system_score_gemma":0.09967444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.859585,"about_ca_topic_score_gemma":0.8980064,"domain_scores_codex":[0.9750367,0.001420263,0.001207613,0.0008687331,0.01910677,0.002359876],"domain_scores_gemma":[0.8969238,0.02740082,0.007162826,0.00230824,0.06364838,0.002555896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000472024,0.0001203687,0.1321023,0.01034859,0.00051632,0.003984262,0.219164,0.0007581534,0.003063931,0.08625192,0.1168375,0.4263807],"study_design_scores_gemma":[0.00002695182,0.00002388753,0.2076739,0.006956928,0.0006134615,0.0007315759,0.1025132,0.000448556,0.002195748,0.002538637,0.6761326,0.0001445815],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3527234,0.03704578,0.002294909,0.008275478,0.0007545451,0.0007340165,0.07326878,0.0002577612,0.5246453],"genre_scores_gemma":[0.8563245,0.0485403,0.004199599,0.001106637,0.0004229934,0.0005751927,0.03833806,0.0004563413,0.05003636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8152632,"threshold_uncertainty_score":0.389326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08214734923937417,"score_gpt":0.3352491336829745,"score_spread":0.2531017844436003,"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."}}