{"id":"W4403733986","doi":"10.69564/able.fr.23009.handshakes","title":"1 001 poignées de main","year":2023,"lang":"fr","type":"article","venue":".able.","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009321096,0.0009280412,0.0006485253,0.0009485345,0.003055935,0.003208656,0.000724025,0.001975671,0.3643386],"category_scores_gemma":[0.003064714,0.0003293636,0.0006932063,0.0007437599,0.0009032235,0.002413551,0.003159935,0.002946149,0.1422499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314154,"about_ca_system_score_gemma":0.001646538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005635581,"about_ca_topic_score_gemma":0.01467695,"domain_scores_codex":[0.999104,0.0001547432,0.00003843008,0.0002132493,0.0003025797,0.0001870724],"domain_scores_gemma":[0.9990537,0.00009920675,0.00006609016,0.00005723692,0.0002811811,0.0004426085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002451678,0.0001568325,0.004166902,0.0002812457,0.00003351073,0.001227278,0.001479611,0.00005795388,0.001161277,0.01206603,0.8574723,0.1216518],"study_design_scores_gemma":[0.000006225178,0.00005970642,0.00206146,0.0001240844,0.000004310073,0.0004243851,0.0005734958,0.00002057796,0.0001207586,0.0005957609,0.9960002,0.0000090064],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03297698,0.02245939,0.002329807,0.06236547,0.03698179,0.0002646603,0.004692291,0.001527975,0.8364018],"genre_scores_gemma":[0.02207564,0.005253594,0.0008366079,0.008475298,0.001727695,0.00007235668,0.001262816,0.0003843804,0.9599116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3643386,"threshold_uncertainty_score":0.9066938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0652932068452195,"score_gpt":0.2838160725504322,"score_spread":0.2185228657052127,"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."}}