{"id":"W4411657015","doi":"10.51847/978qumxauh","title":"10.51847/978QUmxAUH","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Economic Growth and Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainable development; Human capital; National development; Economic growth; Political science; Business; Natural resource economics; 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":[0.0007824121,0.0008645938,0.0006088971,0.001612414,0.001271778,0.00466872,0.001146126,0.00234877,0.9315776],"category_scores_gemma":[0.002079216,0.0003055863,0.0004256964,0.002282246,0.0009954836,0.003222483,0.003079948,0.001442171,0.9028358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009163879,"about_ca_system_score_gemma":0.0006753918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220262,"about_ca_topic_score_gemma":0.001025622,"domain_scores_codex":[0.9993318,0.0001382801,0.00006526265,0.0001668361,0.0002199885,0.00007772967],"domain_scores_gemma":[0.998565,0.0004863912,0.00009363022,0.0002596327,0.0003465499,0.0002487926],"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":[0.0001647064,0.0001338019,0.001120618,0.0007121687,0.00001323089,0.0003125749,0.0003690971,0.0002748454,0.002051434,0.01603046,0.2730467,0.7057703],"study_design_scores_gemma":[0.00001401551,0.00002928681,0.0006606203,0.0002508401,0.000005209645,0.0002325309,0.0002144553,0.000249366,0.0003648269,0.002040269,0.9959249,0.00001365967],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001430615,0.001381661,0.001621841,0.00113473,0.0009074344,0.00008366157,0.0006094935,0.0007654449,0.992065],"genre_scores_gemma":[0.006973567,0.001120421,0.001280224,0.0005469036,0.0001534082,0.00008662686,0.0006535102,0.0002886673,0.9888968],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06842238,"threshold_uncertainty_score":0.09759623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005421329489030801,"score_gpt":0.1555949158893728,"score_spread":0.150173586400342,"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."}}