{"id":"W7125952013","doi":"10.1145/3757377.3794967","title":"10.1145/3757377.3794967","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); Key (lock); Component (thermodynamics); Digital 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":[0.001733277,0.002547962,0.002026776,0.003092268,0.002372687,0.004985431,0.002502684,0.004741,0.9360205],"category_scores_gemma":[0.004115396,0.001455624,0.001227151,0.007795204,0.001355655,0.009024057,0.006403351,0.00221814,0.9595062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00216648,"about_ca_system_score_gemma":0.001151228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01999207,"about_ca_topic_score_gemma":0.01879698,"domain_scores_codex":[0.9993041,0.00006020384,0.00006190008,0.0001897867,0.0002546626,0.0001292782],"domain_scores_gemma":[0.9980986,0.0004637179,0.00007843912,0.0005437593,0.0004667995,0.0003487698],"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":[0.0001546476,0.00009865992,0.0004335124,0.000396417,0.00002823615,0.0001509065,0.00007704187,0.0004378496,0.0007425201,0.004620783,0.7429792,0.2498802],"study_design_scores_gemma":[0.00001684562,0.00001429445,0.0006152146,0.0002046448,0.00002302155,0.00007891859,0.00006131971,0.0004773082,0.0002673407,0.001060852,0.9971604,0.00001987705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001327938,0.005106756,0.008742285,0.001778717,0.002658599,0.0002983076,0.01624333,0.01162063,0.9522235],"genre_scores_gemma":[0.002648197,0.002193477,0.001426582,0.0005662896,0.0001792649,0.0001250417,0.007238186,0.001650116,0.9839729],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06397951,"threshold_uncertainty_score":0.09125894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04303921322661786,"score_gpt":0.3239150113455901,"score_spread":0.2808757981189723,"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."}}