{"id":"W6992442761","doi":"","title":"Le débat bioéthique et juridique sur la reproduction médicalement assistée: une étude sur l'expérience canadienne et brésilienne","year":2012,"lang":"pt","type":"article","venue":"Americanae (AECID Library)","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Government (linguistics); Field (mathematics); Context (archaeology); Reproduction","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"],"consensus_categories":[],"category_scores_codex":[0.002845959,0.0008457231,0.0009493721,0.0003641743,0.0004045771,0.0004042903,0.002318796,0.0003441869,0.0004153452],"category_scores_gemma":[0.0007885185,0.0008951802,0.0003469542,0.002785439,0.0009397463,0.008041911,0.001140805,0.00121674,0.0001919253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002960337,"about_ca_system_score_gemma":0.003289621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3394171,"about_ca_topic_score_gemma":0.01650541,"domain_scores_codex":[0.9915543,0.002349058,0.00122977,0.002143204,0.0007021807,0.002021499],"domain_scores_gemma":[0.9938872,0.0009168707,0.0007362496,0.002881757,0.0002096578,0.001368298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003618816,0.006587308,0.2647513,0.0003835562,0.0006700379,0.000334251,0.04303014,0.001366294,0.005036625,0.2459285,0.3826069,0.04894317],"study_design_scores_gemma":[0.001356866,0.00151276,0.7471763,0.0003553372,0.0001206237,0.0002411997,0.001629859,0.002518318,0.02552526,0.001278668,0.2157222,0.002562682],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8509238,0.001610777,0.05128289,0.08806323,0.002437136,0.0009413795,0.0001078353,0.0006569313,0.003976029],"genre_scores_gemma":[0.9796246,0.0006679369,0.006945757,0.007856185,0.0003386379,0.0001365403,0.00005899556,0.0001196885,0.004251647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4824249,"threshold_uncertainty_score":0.9993499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173278868246269,"score_gpt":0.2452146159202598,"score_spread":0.2278867290956329,"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."}}