{"id":"W7022576007","doi":"","title":"Espaces à occuper","year":2015,"lang":"fr","type":"article","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Science Education and Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Aura; Cultural environment; German population","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":[],"consensus_categories":[],"category_scores_codex":[0.000937575,0.000449526,0.0002965237,0.0007950565,0.01188832,0.005566976,0.0009278003,0.001186028,0.06051174],"category_scores_gemma":[0.001456705,0.0001833578,0.0003023513,0.001318237,0.004491373,0.002428437,0.004255165,0.001394492,0.007730778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006448347,"about_ca_system_score_gemma":0.007816188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3701246,"about_ca_topic_score_gemma":0.6569884,"domain_scores_codex":[0.9987258,0.0003110735,0.00002797075,0.0001583805,0.0003496306,0.0004270254],"domain_scores_gemma":[0.9994071,0.0000568531,0.00004057184,0.00005781553,0.0002214468,0.0002162044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001095455,0.00009056584,0.03019087,0.0003977905,0.00004220162,0.001961238,0.2844714,0.0003071506,0.002355393,0.2685627,0.1728611,0.2386501],"study_design_scores_gemma":[0.000002792213,0.00001358391,0.009211752,0.0001796764,0.000006973363,0.0001755274,0.08517219,0.00005705299,0.0001336907,0.002702763,0.9023331,0.00001087373],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1420211,0.003716286,0.004142759,0.01569176,0.0009354104,0.0001115492,0.0006321518,0.0001311659,0.8326178],"genre_scores_gemma":[0.416884,0.002413074,0.001787221,0.002899401,0.0001552278,0.00006790734,0.0003759621,0.0001054113,0.5753118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3701246,"threshold_uncertainty_score":0.7359405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2146059308981051,"score_gpt":0.4811275065210053,"score_spread":0.2665215756229002,"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."}}