{"id":"W7118971618","doi":"10.1145/3725843.3786386","title":"10.1145/3725843.3786386","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Component (thermodynamics); Session key; Key (lock)","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":[0.002175573,0.003889522,0.003044965,0.003470907,0.002942765,0.00624853,0.00349826,0.006330688,0.9461015],"category_scores_gemma":[0.004173669,0.002316792,0.001640742,0.01189405,0.001813101,0.01287705,0.007027207,0.00324958,0.9695392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002755585,"about_ca_system_score_gemma":0.001324575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01905139,"about_ca_topic_score_gemma":0.01241829,"domain_scores_codex":[0.9990649,0.00006613662,0.00008181226,0.0002838854,0.0003128514,0.0001904836],"domain_scores_gemma":[0.9979576,0.0004580083,0.00009811727,0.0006952247,0.0004305535,0.0003604798],"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":[0.0002363988,0.0001750656,0.0004558449,0.0006649281,0.00005717775,0.0001955001,0.000102859,0.0006977411,0.001107533,0.006389723,0.6908534,0.2990639],"study_design_scores_gemma":[0.00004515869,0.00003689599,0.000766217,0.000313572,0.00005525139,0.0001486368,0.00007572141,0.0008303227,0.0004901637,0.001875761,0.9953213,0.00004105575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002110016,0.006927367,0.01441491,0.001827164,0.002590985,0.0005638644,0.01970558,0.02155525,0.9303049],"genre_scores_gemma":[0.003721787,0.002883342,0.002624172,0.0008962469,0.0002030433,0.0002749509,0.01171493,0.002696348,0.9749851],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05389851,"threshold_uncertainty_score":0.07687968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05659026475392402,"score_gpt":0.2965446567457425,"score_spread":0.2399543919918184,"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."}}