{"id":"W4406531126","doi":"10.1016/0967-0653(95)98973-n","title":"10.1016/0967-0653(95)98973-n","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":"Train; Computer science; Geography; Cartography","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":[0.001102794,0.002536351,0.001976118,0.002623467,0.002492267,0.004107756,0.003580066,0.005338446,0.9887143],"category_scores_gemma":[0.002177898,0.001119534,0.001322537,0.003076822,0.002255826,0.006187613,0.003358198,0.002670059,0.9929664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214656,"about_ca_system_score_gemma":0.001091536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005955734,"about_ca_topic_score_gemma":0.005124524,"domain_scores_codex":[0.9992529,0.00006598234,0.00006954108,0.0002723105,0.0001906057,0.0001486408],"domain_scores_gemma":[0.997753,0.0006531848,0.0001538951,0.0003317571,0.0004721785,0.0006359664],"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":[0.0003318083,0.0001993877,0.0009258037,0.0005552622,0.00003586377,0.0002344793,0.00009780633,0.0004694488,0.001399556,0.004814127,0.4665844,0.5243521],"study_design_scores_gemma":[0.00006018701,0.00009678299,0.0009670618,0.0004071261,0.00001559457,0.0002748265,0.0001451024,0.000226899,0.0002565006,0.0009327033,0.9965887,0.00002852133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004383783,0.0004115874,0.0005405928,0.0004485876,0.0003096832,0.0001044638,0.001027073,0.0008382142,0.9958813],"genre_scores_gemma":[0.0007698431,0.0002691261,0.0003901282,0.0003296185,0.00007252852,0.00007009369,0.0005514846,0.0001892952,0.9973578],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01128572,"threshold_uncertainty_score":0.01609772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697068236171413,"score_gpt":0.1549923619917516,"score_spread":0.1380216796300375,"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."}}