{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005702372,0.001676804,0.00083618,0.001914105,0.001713469,0.005712225,0.001694753,0.003078797,0.9668951],"category_scores_gemma":[0.001578484,0.0007567303,0.0006210536,0.003230784,0.001031234,0.006478724,0.003340994,0.001849345,0.9699659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008234638,"about_ca_system_score_gemma":0.0007915085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002771138,"about_ca_topic_score_gemma":0.004346439,"domain_scores_codex":[0.999582,0.00004563997,0.00002892583,0.0001139795,0.0001688419,0.00006061891],"domain_scores_gemma":[0.9990531,0.0002812933,0.00005370446,0.0001504908,0.0002221416,0.0002392833],"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":[0.00005246233,0.00006441098,0.0002321089,0.0003125675,0.000006068376,0.00009455548,0.000139697,0.00009304506,0.0006800123,0.005394766,0.7266365,0.2662938],"study_design_scores_gemma":[0.000008626162,0.00001247603,0.0003707277,0.0001469129,0.000003098496,0.0001044065,0.00009495654,0.00004910951,0.000105202,0.0005995262,0.9984986,0.000006369516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001812205,0.0004608808,0.0003645335,0.0003140307,0.0002429746,0.00003766856,0.0005627396,0.0006139842,0.9972221],"genre_scores_gemma":[0.0004942592,0.0003131006,0.0001643788,0.0001913718,0.0000497036,0.00002960884,0.0003029774,0.0002209442,0.9982337],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0331049,"threshold_uncertainty_score":0.04722005,"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."}}