{"id":"W6923040446","doi":"10.1371/journal.pdig.0000729.s002","title":"SMI final master database.","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Influencer marketing; Social media; Digital media; Product (mathematics); Food marketing; Descriptive statistics; Social marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002355766,0.001465849,0.002789657,0.008396918,0.001234533,0.005881716,0.00339211,0.002085932,0.8751647],"category_scores_gemma":[0.01890642,0.001216952,0.001497492,0.01201343,0.0004800027,0.004853724,0.003951503,0.002166258,0.7737371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505895,"about_ca_system_score_gemma":0.004158858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00771765,"about_ca_topic_score_gemma":0.009093085,"domain_scores_codex":[0.9980136,0.0002484338,0.0004142016,0.0003804571,0.0006095741,0.0003337423],"domain_scores_gemma":[0.9912247,0.002092187,0.0006341324,0.001458933,0.003809249,0.0007807507],"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":[0.0001058712,0.00001835099,0.0002042407,0.001027811,0.00001330789,0.00001477577,0.00004648261,0.00003496373,0.00006207907,0.0007413017,0.9885746,0.009156317],"study_design_scores_gemma":[0.00019,0.00002663612,0.001650989,0.0008100655,0.00002319414,0.00003484254,0.0001064298,0.000170077,0.0002167608,0.002119209,0.9946176,0.00003419869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001386494,0.0001041679,0.0003779943,0.0003298721,0.0001841591,0.0001402696,0.9593749,0.005382218,0.03396782],"genre_scores_gemma":[0.00283238,0.0006602123,0.003583692,0.0007665634,0.0002892681,0.001532794,0.9181877,0.008097334,0.06405006],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8751647,"threshold_uncertainty_score":0.1780623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08255237709919476,"score_gpt":0.2815703177310668,"score_spread":0.1990179406318721,"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."}}