{"id":"W4407276173","doi":"10.70266/9783886177608","title":"10.70266/9783886177608","year":2000,"lang":"en","type":"book","venue":"Time to knit","topic":"Innovation, Technology, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005669266,0.0002320185,0.000328564,0.0001727937,0.0005927944,0.00007279622,0.0006468638,0.001004016,0.9770449],"category_scores_gemma":[0.0001066877,0.0002600421,0.0001484591,0.0003879397,0.0004272148,0.00008378722,0.000066035,0.0004249717,0.9520851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000458487,"about_ca_system_score_gemma":0.000839601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001215904,"about_ca_topic_score_gemma":0.00000133539,"domain_scores_codex":[0.9983656,0.00005817844,0.0002821852,0.0003672936,0.0004610695,0.0004656896],"domain_scores_gemma":[0.9991191,0.00006971996,0.0001148168,0.0003857482,0.0002023086,0.0001083199],"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":[0.000005125284,0.00001395987,4.505489e-8,0.000006067424,0.00002590824,0.000002773636,0.0005115652,6.032924e-7,5.083227e-7,0.00296026,0.9478508,0.0486224],"study_design_scores_gemma":[0.00007889109,0.00004305923,0.000001444166,0.00003220486,0.00002402167,6.736664e-7,0.00002622539,0.000001162825,0.00000113887,0.001736952,0.9977454,0.0003088315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002746429,0.000110984,8.920002e-7,0.0008793194,0.00002330783,0.0003868688,0.00004166203,0.0005605385,0.9979937],"genre_scores_gemma":[0.00000134061,0.00001069127,0.0001123564,0.0002598236,0.0009685234,0.00002587601,0.0001009395,0.00004518365,0.9984753],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04989461,"threshold_uncertainty_score":0.9999852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088590359402161,"score_gpt":0.2315074633045879,"score_spread":0.2206215597105663,"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."}}