{"id":"W7005778917","doi":"","title":"2015 10 19 Serge Laroche natif de Dolbeau Mistassini et résident de Toronto","year":2015,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relation (database); Work (physics); Identity (music); Subject (documents)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004389815,0.0008076945,0.0003555189,0.0008769413,0.002785019,0.002165403,0.0007307146,0.001170643,0.6279608],"category_scores_gemma":[0.0009760523,0.0003163636,0.0003020709,0.0006870754,0.0004834152,0.0005986351,0.002090245,0.001041735,0.4209259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004553952,"about_ca_system_score_gemma":0.007066438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2322562,"about_ca_topic_score_gemma":0.6351578,"domain_scores_codex":[0.9995776,0.00002425182,0.00001337763,0.00006479547,0.0001667569,0.0001533617],"domain_scores_gemma":[0.9984367,0.00004040378,0.00003515688,0.00005689777,0.0004963382,0.0009344548],"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":[0.00003784706,0.00003022765,0.002179501,0.00007279937,0.00000309324,0.0002214509,0.0001464,0.00003987725,0.0003890697,0.000926577,0.9646292,0.03132414],"study_design_scores_gemma":[0.000006145659,0.00001937976,0.00535865,0.00007311237,0.000002300608,0.0000893902,0.0002954361,0.00002987463,0.0001413256,0.00006578692,0.9939141,0.00000458949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005046892,0.001510427,0.000443987,0.005461245,0.004101582,0.0001929624,0.009874482,0.0007592868,0.972609],"genre_scores_gemma":[0.004234781,0.0005407698,0.0001671,0.0005313244,0.0001506045,0.00002396012,0.002142587,0.00009656877,0.9921124],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7677438,"threshold_uncertainty_score":0.5306687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009692405365792018,"score_gpt":0.2129114651676208,"score_spread":0.2032190598018288,"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."}}