{"id":"W7071994254","doi":"","title":"The Use of Mental Map in Political Science: Pros and Cons of a Littled Used Tool","year":2009,"lang":"fr","type":"article","venue":"Open Repository and Bibliography (University of Liège)","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Politics; cons; Mental mapping; Measure (data warehouse); Field (mathematics)","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":[0.03956188,0.001091286,0.001254975,0.01233202,0.004437972,0.0185633,0.003424225,0.006072952,0.005117059],"category_scores_gemma":[0.1010432,0.0007292097,0.001082075,0.01250766,0.02601863,0.03059875,0.01234544,0.004712025,0.001422761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002494174,"about_ca_system_score_gemma":0.002375705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001704548,"about_ca_topic_score_gemma":0.001749711,"domain_scores_codex":[0.9592209,0.03199269,0.001435089,0.001313043,0.005386134,0.0006522439],"domain_scores_gemma":[0.8547667,0.1171221,0.003406108,0.01659766,0.006306682,0.00180084],"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":[0.0001669222,0.0000587961,0.004016234,0.001038826,0.0000999566,0.000252566,0.01168219,0.0005687429,0.0006386942,0.7804262,0.007229411,0.1938215],"study_design_scores_gemma":[0.00005623678,0.0001624944,0.00418564,0.003060531,0.0001544328,0.001598582,0.01324736,0.008502732,0.00364318,0.8189377,0.1461794,0.0002717721],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04598267,0.02701216,0.652961,0.09767302,0.00309457,0.0002082009,0.0004812338,0.002355769,0.1702316],"genre_scores_gemma":[0.6668952,0.01050911,0.3059227,0.005839532,0.001345175,0.0005814017,0.0001728175,0.001097239,0.007636852],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03956188,"threshold_uncertainty_score":0.2092257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04936691260885986,"score_gpt":0.2653708764742126,"score_spread":0.2160039638653528,"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."}}