{"id":"W4386697636","doi":"10.47854/anthropen.v1i1.52071","title":"Big data","year":2023,"lang":"fr","type":"article","venue":"Anthropen","topic":"Diverse Cultural and Historical Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Big data; Humanities; Diction; Philosophy; Soul; Sociology; Epistemology; Computer science; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002813526,0.00008236534,0.0001424949,0.00001656234,0.001047473,0.00007094604,0.0007254092,0.00005847574,0.002491955],"category_scores_gemma":[0.0001204444,0.00006612708,0.00003654681,0.0008611709,0.001011921,0.0003310957,0.0009738746,0.00007565726,0.03234832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000682022,"about_ca_system_score_gemma":0.00004388722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04095271,"about_ca_topic_score_gemma":0.007408191,"domain_scores_codex":[0.9989722,0.00007052662,0.0001032278,0.0002706287,0.0002513423,0.0003321032],"domain_scores_gemma":[0.9995239,0.00005747021,0.00003481493,0.00025,0.00004213503,0.00009162154],"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":[0.000001494341,0.00002490987,0.0002142484,0.000008338872,0.00002929048,0.00002791075,0.003370019,3.055761e-7,0.00000350077,0.03303094,0.7377118,0.2255772],"study_design_scores_gemma":[0.00006914452,0.00002132217,0.001622044,0.00002396655,0.00002933582,2.458858e-7,0.007915316,0.00001380843,0.000001650402,0.0006698549,0.9895153,0.0001179818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002468609,0.009836205,0.000004156027,0.1136983,0.02081815,0.0001637714,0.0001917175,0.0001588632,0.8526602],"genre_scores_gemma":[0.1367031,0.04913253,0.00003654186,0.0005677611,0.004142584,0.000004852918,0.00009129895,0.00001093276,0.8093104],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2518035,"threshold_uncertainty_score":0.9984199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4343153380268028,"score_gpt":0.3942174746644727,"score_spread":0.04009786336233018,"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."}}