{"id":"W4248687347","doi":"10.1002/citp.202070706","title":"F + E","year":2020,"lang":"fr","type":"article","venue":"CITplus","topic":"Innovation, Technology, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Weyerhauser (Canada)","funders":"","keywords":"Citation; Computer science; Information retrieval; World Wide Web; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0007034008,0.0008117785,0.0004984007,0.001891519,0.0013866,0.003427722,0.001227869,0.001886157,0.8716234],"category_scores_gemma":[0.003481576,0.0002374591,0.0005912407,0.001449403,0.0005931598,0.00185231,0.002062123,0.001012101,0.773639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456971,"about_ca_system_score_gemma":0.001450288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004378076,"about_ca_topic_score_gemma":0.004247512,"domain_scores_codex":[0.9992909,0.00006600664,0.00003642279,0.0001631927,0.0002933482,0.0001499305],"domain_scores_gemma":[0.9985552,0.0001542749,0.00004723705,0.0002649105,0.0007487364,0.0002295856],"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":[0.00005722571,0.00003653219,0.0002759718,0.000105527,0.00000548723,0.00007656055,0.00003768321,0.00007517036,0.0008208927,0.0181106,0.8408011,0.1395973],"study_design_scores_gemma":[0.000009112643,0.000009474583,0.0003091315,0.00002988422,0.000002169386,0.00009708136,0.00002210812,0.00004602435,0.0002553666,0.002024477,0.9971893,0.000005918704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009088575,0.0002435489,0.001831004,0.00360179,0.005816983,0.0001251993,0.00519224,0.001104244,0.9811761],"genre_scores_gemma":[0.0039999,0.0001864906,0.001104019,0.0007836478,0.0004329388,0.00004911613,0.002276824,0.0002731039,0.990894],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8716234,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0505070306104019,"score_gpt":0.3026193691880344,"score_spread":0.2521123385776325,"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."}}