{"id":"W7118009026","doi":"10.1145/3769694.3787138","title":"10.1145/3769694.3787138","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Lightning (connector); 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":[0.001680104,0.002693093,0.0024527,0.002741506,0.002294517,0.004941095,0.002784458,0.005225169,0.9425765],"category_scores_gemma":[0.004576185,0.001727335,0.001252806,0.009728352,0.001470383,0.01058655,0.005291511,0.002779475,0.9667553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002284143,"about_ca_system_score_gemma":0.001066498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01640726,"about_ca_topic_score_gemma":0.01119105,"domain_scores_codex":[0.9993124,0.00006379345,0.00006143083,0.0001917171,0.0002368736,0.0001338022],"domain_scores_gemma":[0.9983322,0.0004344819,0.00008630702,0.0006120274,0.0003218082,0.0002132492],"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":[0.0001892231,0.0001484661,0.0004666971,0.0004689551,0.00003752272,0.0001716601,0.00007792184,0.0008266024,0.0006638375,0.008493109,0.6959855,0.2924705],"study_design_scores_gemma":[0.00003502352,0.00002445423,0.000719627,0.0002541241,0.00003482917,0.0001248438,0.00006066401,0.0009631139,0.0004389469,0.003013141,0.9943032,0.00002794058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001896261,0.005650175,0.0129672,0.00243865,0.002489517,0.0003364544,0.02289965,0.01559486,0.9357272],"genre_scores_gemma":[0.005316762,0.002902804,0.002522318,0.0008669345,0.000228325,0.0001967602,0.01059362,0.002524726,0.9748478],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05742353,"threshold_uncertainty_score":0.08190769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780016731676214,"score_gpt":0.1523482082768214,"score_spread":0.1345480409600593,"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."}}