{"id":"W7153794443","doi":"10.1145/3772318.3808953","title":"10.1145/3772318.3808953","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Component (thermodynamics); MEDLINE; Affect (linguistics)","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":[0.001830098,0.002524934,0.002070519,0.002920773,0.002230037,0.004888986,0.002607569,0.004463091,0.9585345],"category_scores_gemma":[0.003454183,0.001485884,0.001271561,0.007767138,0.00122625,0.008274884,0.006055237,0.001933172,0.975588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001874232,"about_ca_system_score_gemma":0.001053021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01452351,"about_ca_topic_score_gemma":0.01207841,"domain_scores_codex":[0.9993193,0.0000504996,0.00005911562,0.0001984548,0.0002409913,0.0001316173],"domain_scores_gemma":[0.9979582,0.0005087278,0.00008180422,0.0005400536,0.0005100321,0.000401227],"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":[0.0001432407,0.0001296096,0.0005522739,0.0004861587,0.00002803408,0.000168208,0.00009883245,0.0003675788,0.0007122876,0.003829399,0.7013333,0.2921511],"study_design_scores_gemma":[0.00002292348,0.00002078794,0.001023844,0.0002730047,0.00002968602,0.0001235851,0.00008029533,0.0004479483,0.0003244517,0.0009081622,0.9967181,0.00002717344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001463177,0.003583506,0.00622262,0.0012125,0.002018989,0.0002513541,0.0123999,0.008767183,0.9640808],"genre_scores_gemma":[0.002400767,0.001809577,0.001266831,0.000477107,0.0001464419,0.0001310095,0.005451807,0.001155542,0.987161],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04146552,"threshold_uncertainty_score":0.05914545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007473110470338252,"score_gpt":0.2209170162459525,"score_spread":0.2134439057756143,"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."}}