{"id":"W7115811892","doi":"","title":"Dialogue Summary: Soutenir des approches optimales de dépistage au Canada","year":2013,"lang":"","type":"other","venue":"MacSphere (McMaster University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Context (archaeology); Government (linguistics); State (computer science); Field (mathematics); Perspective (graphical)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01943323,0.0007979939,0.0009277884,0.003992193,0.0175525,0.01346726,0.005255924,0.008088063,0.02852861],"category_scores_gemma":[0.03990135,0.0006483732,0.001226482,0.004683431,0.005259124,0.003736702,0.005229332,0.007300483,0.001890506],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1844283,"about_ca_system_score_gemma":0.4990069,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9840972,"about_ca_topic_score_gemma":0.9915164,"domain_scores_codex":[0.9771497,0.004932459,0.0009218514,0.001408071,0.010751,0.004836934],"domain_scores_gemma":[0.9714276,0.004827598,0.0004236943,0.0006126158,0.01875126,0.003957229],"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":[0.0001158285,0.00007249707,0.003217655,0.001379203,0.00005150351,0.0002860814,0.01257825,0.0009260303,0.0004432906,0.07055905,0.8159388,0.09443184],"study_design_scores_gemma":[0.00003243063,0.00002908858,0.005893011,0.001551851,0.00008011212,0.00005077053,0.01120135,0.0004057955,0.0003361132,0.005180941,0.9751771,0.00006144841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0121706,0.03835264,0.003370579,0.6823696,0.005655591,0.0005400055,0.002876798,0.0002302079,0.254434],"genre_scores_gemma":[0.3514027,0.07195207,0.02228535,0.2027694,0.002531773,0.001037407,0.002738666,0.0005463544,0.3447362],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1844283,"threshold_uncertainty_score":0.9459475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270312746091736,"score_gpt":0.1809177566654448,"score_spread":0.1682146292045274,"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."}}