{"id":"W7117974452","doi":"10.1145/3712285.3787157","title":"10.1145/3712285.3787157","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Key (lock); Adaptation (eye); Component (thermodynamics)","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":[0.001401893,0.002727004,0.002282306,0.002571722,0.002056447,0.004629245,0.002675777,0.004720533,0.9482384],"category_scores_gemma":[0.003022534,0.001533824,0.001196934,0.008215725,0.001005727,0.007685625,0.005408475,0.002243512,0.9723307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001994453,"about_ca_system_score_gemma":0.0008527384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01438744,"about_ca_topic_score_gemma":0.01011517,"domain_scores_codex":[0.9994125,0.00003357411,0.00004411883,0.0001814847,0.000203754,0.0001246197],"domain_scores_gemma":[0.9984587,0.0002937293,0.00006535891,0.0005093477,0.0003618144,0.0003109811],"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":[0.0001835929,0.0001408214,0.000381038,0.0003601539,0.00002946642,0.0001523952,0.00006082046,0.0005021348,0.001023055,0.004627132,0.6878094,0.30473],"study_design_scores_gemma":[0.00002447247,0.00002381575,0.0005844627,0.0001698282,0.00002764931,0.0001024036,0.00004051431,0.0005909082,0.0004121115,0.0008886125,0.9971108,0.00002431182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001382253,0.00377755,0.008817444,0.001079803,0.001720795,0.0003318699,0.01408617,0.01547729,0.9533268],"genre_scores_gemma":[0.002467836,0.001657971,0.001292965,0.0004923368,0.0001499191,0.0001319513,0.00754524,0.001542096,0.9847196],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05176163,"threshold_uncertainty_score":0.07383162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008953258864501995,"score_gpt":0.1856859742987042,"score_spread":0.1767327154342022,"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."}}