{"id":"W2804285387","doi":"","title":"Chapter VI. Mimicry and Motives: Canadian Aid Allocation in Longitudinal Perspective","year":2015,"lang":"fr","type":"book-chapter","venue":"OpenEdition (OpenEdition)","topic":"International Development and Aid","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mimicry; Perspective (graphical); Geography; Biology; Ecology; Computer science; Artificial intelligence","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":[0.0006765372,0.0003230119,0.000174064,0.00138811,0.003461117,0.003535952,0.0006962031,0.00069445,0.01827761],"category_scores_gemma":[0.001671752,0.0001529061,0.0001799611,0.002986822,0.003134724,0.00141142,0.0006227763,0.0009918677,0.0009683768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03729832,"about_ca_system_score_gemma":0.02333615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7986041,"about_ca_topic_score_gemma":0.871261,"domain_scores_codex":[0.99962,0.00007514825,0.000005982209,0.0000432348,0.0001678639,0.00008773388],"domain_scores_gemma":[0.9993989,0.0001834666,0.00003352199,0.00002807828,0.0002828538,0.00007316947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007114609,0.000005036754,0.001189573,0.00004515324,0.000002928178,0.00004849802,0.003279993,0.0006556711,0.00006748776,0.8988622,0.06788735,0.02794897],"study_design_scores_gemma":[0.000003372817,0.000007727379,0.006739172,0.0004371127,0.00001001038,0.0001185814,0.00437398,0.001110638,0.0001583247,0.1334846,0.8535264,0.00002997782],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01283418,0.02500849,0.004476436,0.02214435,0.0008108086,0.00004932511,0.0007294581,0.00008465634,0.9338623],"genre_scores_gemma":[0.464415,0.03155623,0.006135753,0.003151211,0.0005492073,0.00008420693,0.0005232066,0.000112682,0.4934725],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2013959,"threshold_uncertainty_score":0.4051638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04465425151149916,"score_gpt":0.2802582745185272,"score_spread":0.235604023007028,"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."}}