{"id":"W4253039063","doi":"10.21991/c9pq25","title":"Introduction","year":2014,"lang":"en","type":"article","venue":"Constitutional Forum / Forum constitutionnel","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Political science; Library science; Law; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001692109,0.0007124341,0.0006269648,0.001372273,0.002601455,0.007652794,0.00187967,0.004011518,0.4964273],"category_scores_gemma":[0.007590685,0.0002729802,0.0006137348,0.001325332,0.001113221,0.004498906,0.003166197,0.003497602,0.2835559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002209387,"about_ca_system_score_gemma":0.003065478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002587444,"about_ca_topic_score_gemma":0.004039929,"domain_scores_codex":[0.9980053,0.0002893911,0.00010135,0.000444049,0.0008988859,0.0002610942],"domain_scores_gemma":[0.9971854,0.0005556731,0.0001341305,0.0003296546,0.001270323,0.0005248864],"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":[0.00001702781,0.00001356321,0.0001369937,0.00008348373,0.000001711993,0.00002889301,0.0001733002,0.00002557021,0.00009528833,0.02413292,0.9399015,0.03538966],"study_design_scores_gemma":[0.000001284904,0.000003611108,0.000102207,0.00004473352,5.275638e-7,0.00001465119,0.00006203837,0.000009198398,0.00001830762,0.001736325,0.9980052,0.000001972774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0008393882,0.005708869,0.002316569,0.06325556,0.06973787,0.0001381485,0.003414365,0.0007288202,0.8538604],"genre_scores_gemma":[0.00600777,0.002728179,0.0009938834,0.01407485,0.01254691,0.00009626151,0.002397661,0.0003835266,0.9607709],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4964273,"threshold_uncertainty_score":0.7182854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576896620359455,"score_gpt":0.2637771714862154,"score_spread":0.2480082052826208,"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."}}