{"id":"W4390450556","doi":"10.18280/ts.400640","title":"Personalized Learning Pathway Generation for Online Education Through Image Recognition","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Image (mathematics); Multimedia; Pattern recognition (psychology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003206371,0.0004472558,0.0002313877,0.0005928532,0.0002215608,0.0004801832,0.0006541564,0.0004382438,0.003154359],"category_scores_gemma":[0.0009519074,0.0001507762,0.0002905318,0.0002754947,0.0002225716,0.000991846,0.0006842633,0.0005326376,0.0009544221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003288923,"about_ca_system_score_gemma":0.0004028559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138235,"about_ca_topic_score_gemma":0.002146393,"domain_scores_codex":[0.9998178,0.0000276943,0.000008751769,0.00006437503,0.0000547377,0.0000267264],"domain_scores_gemma":[0.9997448,0.0000727941,0.0000257465,0.00004928018,0.00007876611,0.0000285174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001998227,0.0002356693,0.003017931,0.0001011687,0.00002269683,0.0001594913,0.0002610921,0.02527555,0.08809893,0.003099459,0.003852484,0.8756758],"study_design_scores_gemma":[0.00003540335,0.0002743224,0.005472974,0.00003180208,0.00004412557,0.0003231211,0.0002117811,0.8413612,0.1303024,0.008568847,0.01331181,0.00006226472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06180218,0.0002401315,0.9297917,0.0001832885,0.00008749123,0.000137905,0.0001611996,0.004073653,0.003522393],"genre_scores_gemma":[0.6318492,0.0002462943,0.3613828,0.0001225292,0.00002442101,0.0001666525,0.0002630957,0.0002356078,0.005709402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003154359,"threshold_uncertainty_score":0.01055241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07213784251206222,"score_gpt":0.3321998174508975,"score_spread":0.2600619749388353,"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."}}