{"id":"W4406656711","doi":"10.1016/b978-0-434-98613-2.50029-4","title":"10.1016/b978-0-434-98613-2.50029-4","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Spreadsheets and End-User Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Statistics; Mathematical economics","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":[0.0009603291,0.002295446,0.001575342,0.002130849,0.001389127,0.00468027,0.003206427,0.004338572,0.9834666],"category_scores_gemma":[0.001708125,0.000920789,0.00100386,0.002272906,0.001270168,0.004938424,0.003108435,0.002217709,0.9910767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009797463,"about_ca_system_score_gemma":0.000808834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003067611,"about_ca_topic_score_gemma":0.002821645,"domain_scores_codex":[0.9994833,0.00002778028,0.00003233513,0.0001883014,0.0001748387,0.00009348193],"domain_scores_gemma":[0.9981115,0.000586725,0.0001332084,0.0002629239,0.0003706644,0.000534935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001499886,0.0001483546,0.000436728,0.0004867813,0.00002279514,0.0001392339,0.00008671473,0.0004146908,0.003166905,0.005517262,0.3510633,0.6383672],"study_design_scores_gemma":[0.00002002995,0.00005757983,0.0005777154,0.0003078949,0.00001014135,0.0002185328,0.00008466407,0.0001672507,0.000440005,0.001011243,0.9970884,0.00001667691],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002583097,0.0004647966,0.001395809,0.0002908509,0.0001670294,0.00006343779,0.0008689499,0.001318715,0.9951722],"genre_scores_gemma":[0.0005116065,0.000266892,0.0005252819,0.0001225466,0.00003444664,0.00004224843,0.0004945934,0.0002761912,0.9977261],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01653343,"threshold_uncertainty_score":0.02358294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149243064542732,"score_gpt":0.1764878067551377,"score_spread":0.1649953761097104,"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."}}