{"id":"W7154090500","doi":"10.1145/3772318.3809063","title":"10.1145/3772318.3809063","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Affect (linguistics); MEDLINE; Public health","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002015544,0.002682418,0.00218729,0.003025058,0.002650889,0.005262052,0.00266507,0.004768327,0.9519092],"category_scores_gemma":[0.003814137,0.0017033,0.001393011,0.00799846,0.00157006,0.009779138,0.006864818,0.00232094,0.9697564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002225218,"about_ca_system_score_gemma":0.001128259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0158633,"about_ca_topic_score_gemma":0.01394044,"domain_scores_codex":[0.9992974,0.00005465471,0.00006000059,0.0001933714,0.0002500306,0.0001445163],"domain_scores_gemma":[0.9979556,0.0004871261,0.00008066628,0.0005842785,0.0004944475,0.0003978929],"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":[0.0002094046,0.0001507448,0.0005578476,0.0004707755,0.00003380831,0.0002110693,0.0001057494,0.0004450665,0.0009488497,0.005839278,0.7315583,0.2594691],"study_design_scores_gemma":[0.00002549543,0.00002310186,0.0008082004,0.0002480635,0.00002904825,0.0001084697,0.00008644997,0.0005820333,0.0003755727,0.001220419,0.9964643,0.00002883811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001367974,0.003501454,0.007615858,0.001342693,0.002309178,0.0002844129,0.01101661,0.01099735,0.9615645],"genre_scores_gemma":[0.00261333,0.001704411,0.001348996,0.0005203159,0.000154538,0.0001306728,0.005145913,0.001694531,0.9866873],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04809076,"threshold_uncertainty_score":0.06859565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04333545002026348,"score_gpt":0.3246710514929709,"score_spread":0.2813356014727075,"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."}}