{"id":"W7067276525","doi":"","title":"Little people of everywhere, aux origines des portraits de pays","year":2020,"lang":"fr","type":"other","venue":"OpenEdition (OpenEdition)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Portrait; Data collection; Work (physics); Performance 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003711612,0.0007213214,0.0004090807,0.002892012,0.005291198,0.004507642,0.0005164793,0.0007293692,0.06948219],"category_scores_gemma":[0.0007906962,0.0002488972,0.0001620668,0.004574509,0.00188589,0.002264945,0.001557122,0.001264563,0.0140981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00632245,"about_ca_system_score_gemma":0.004643132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.210736,"about_ca_topic_score_gemma":0.6046767,"domain_scores_codex":[0.9996063,0.00007611394,0.00001470103,0.00005315895,0.0001824399,0.00006731196],"domain_scores_gemma":[0.9996903,0.00005007112,0.00003243674,0.00002164775,0.0001182564,0.00008737973],"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":[0.000009388353,0.000004443219,0.0002943925,0.00006923571,0.000001277495,0.00006821472,0.00607462,0.000006937215,0.00005471524,0.01045573,0.9551787,0.02778239],"study_design_scores_gemma":[6.456029e-7,0.000001085221,0.00107652,0.00008796585,6.422732e-7,0.0000514993,0.001841178,0.00000186259,0.00001446385,0.000253257,0.9966689,0.000001851068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003577876,0.130823,0.0002592294,0.01506633,0.006452648,0.00003554138,0.002420517,0.0001455355,0.8412193],"genre_scores_gemma":[0.02695331,0.03166581,0.0004269221,0.002164773,0.001462644,0.00004621958,0.001149351,0.0001765695,0.9359544],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.789264,"threshold_uncertainty_score":0.4190187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767065262769405,"score_gpt":0.2415995638854564,"score_spread":0.2239289112577623,"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."}}