{"id":"W4238262241","doi":"10.1163/2210-7975_hrd-5530-0005","title":"vers-lamlioration-des-services-de-prvention-du-vih-pour-les-communauts-africaines-carabes-et-noires-du-canada-une-analyse-des-lacunes","year":2016,"lang":"fr","type":"dataset","venue":"Human Rights Documents online","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Geography","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":[0.00154241,0.001574796,0.0009883883,0.004041341,0.0009951565,0.002869424,0.002274611,0.002110329,0.02672788],"category_scores_gemma":[0.01078778,0.0006058684,0.00167522,0.006828465,0.0005141429,0.001439087,0.001703097,0.002089872,0.01786374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005965702,"about_ca_system_score_gemma":0.01125727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5433443,"about_ca_topic_score_gemma":0.6947762,"domain_scores_codex":[0.9988419,0.0001994484,0.0001326548,0.0002073851,0.0003244548,0.0002941827],"domain_scores_gemma":[0.9965711,0.0009119174,0.0004989002,0.0005193737,0.0010265,0.0004722901],"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":[0.0001146443,0.00003115499,0.005423923,0.0008193465,0.00007208723,0.00002450038,0.00009481193,0.0004953876,0.00007341774,0.001466609,0.9871113,0.00427275],"study_design_scores_gemma":[0.0004977189,0.00002235274,0.03501122,0.001195393,0.00008546613,0.00005684505,0.0004081193,0.001137965,0.0004197321,0.00126504,0.9598511,0.00004908852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003539784,0.0001259738,0.00003132801,0.0001622882,0.00002066924,0.000008434675,0.9985473,0.00009491635,0.0006551921],"genre_scores_gemma":[0.001560922,0.000177201,0.0002876646,0.00007288284,0.00001632128,0.00008301934,0.9961772,0.00004267617,0.001582222],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4566557,"threshold_uncertainty_score":0.91869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03251789647025739,"score_gpt":0.3439343488952462,"score_spread":0.3114164524249888,"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."}}