{"id":"W2604459421","doi":"10.17605/osf.io/y65jv","title":"Ces experts qui venaient du froid : Comment des Canadiens deviennent experts en développement de l'Afrique subsaharienne","year":2018,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004999316,0.0002907252,0.0003648662,0.0003916287,0.002216379,0.0004472238,0.001295036,0.00024256,0.2487708],"category_scores_gemma":[0.001886003,0.000380943,0.0002002987,0.0003249549,0.001556316,0.0003600576,0.0007018795,0.0002220205,0.08578545],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007828189,"about_ca_system_score_gemma":0.001513256,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.483942,"about_ca_topic_score_gemma":0.9196286,"domain_scores_codex":[0.9952931,0.001062805,0.0005512568,0.001398763,0.0005778448,0.001116205],"domain_scores_gemma":[0.9966154,0.0002847704,0.000217661,0.001599626,0.0002876166,0.0009949037],"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":[0.0001063164,0.0005366921,0.02629848,0.00006222299,0.0001604304,0.0001171652,0.4690041,0.00005031718,0.001973815,0.007238312,0.4539985,0.04045368],"study_design_scores_gemma":[0.0003660815,0.000004983912,0.01293014,0.00009548561,0.00003432114,0.00001421228,0.01394089,0.00003815143,0.001431947,0.002445053,0.9682685,0.0004303013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6602851,0.00002899488,0.0007756179,0.009401504,0.001072967,0.0009279345,0.00002447149,0.0001696873,0.3273138],"genre_scores_gemma":[0.9183071,0.001573899,0.001151053,0.001750601,0.0006505715,0.000489047,0.00001547903,0.00005528007,0.07600703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5142699,"threshold_uncertainty_score":0.9998642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512642834069434,"score_gpt":0.2551257766102716,"score_spread":0.2399993482695773,"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."}}