{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001445841,0.0005423864,0.0005385959,0.0000788287,0.000128794,0.0004849024,0.001607538,0.0004689097,0.1649092],"category_scores_gemma":[0.0002746668,0.0005770456,0.0002122632,0.00003000222,0.0001381711,0.000004639135,0.0005318159,0.0003879298,0.009315313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008474258,"about_ca_system_score_gemma":0.0006613868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01726476,"about_ca_topic_score_gemma":0.01244428,"domain_scores_codex":[0.9967942,0.0001917634,0.0008672813,0.0004287449,0.0008684506,0.0008495834],"domain_scores_gemma":[0.9974281,0.0001832179,0.0005013988,0.0007923981,0.0004674557,0.0006274462],"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":[0.00002623817,0.00006638643,0.000002827691,0.0003763284,0.00005088815,0.00007077181,0.003405972,0.01747133,0.000002138693,0.0006520165,0.9723132,0.005561858],"study_design_scores_gemma":[0.0004758874,0.0002287081,0.00004652917,0.00034126,0.00003407311,0.0004487046,0.0001500472,0.02584912,0.00001137764,0.00007801455,0.9717489,0.0005874066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006654397,0.001878801,0.001761004,0.001561137,0.00114402,0.0003146483,0.00004909706,0.0002140954,0.9930106],"genre_scores_gemma":[0.0007628611,0.0002997437,0.02734641,0.001039292,0.0003295371,0.00001624701,0.00004435439,0.00005551318,0.9701061],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1555939,"threshold_uncertainty_score":0.9996681,"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."}}