{"id":"W6959168120","doi":"10.1016/s1283-0860(12)56119-1","title":"10.1016/s1283-0860(12)56119-1","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.00118731,0.002602522,0.001899387,0.002622224,0.002101164,0.003940074,0.00352231,0.005245807,0.9897071],"category_scores_gemma":[0.001784791,0.001004388,0.001638928,0.002110855,0.001537459,0.005068441,0.003483237,0.002672543,0.9936013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102551,"about_ca_system_score_gemma":0.001103697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003240254,"about_ca_topic_score_gemma":0.00291105,"domain_scores_codex":[0.9993598,0.00003932952,0.00005106683,0.0002249228,0.0002044263,0.0001204017],"domain_scores_gemma":[0.9975727,0.0005636293,0.0001526459,0.0002929798,0.0004951435,0.0009228075],"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":[0.0002914039,0.0001612951,0.0005051168,0.0004792906,0.00002679815,0.0001558681,0.00006917569,0.0003298471,0.001890524,0.004317146,0.3693724,0.6224012],"study_design_scores_gemma":[0.00004210518,0.00008281073,0.0004951207,0.0002281283,0.000009636074,0.0002480519,0.00007587257,0.0001515692,0.0002847658,0.0004985494,0.9978638,0.00001961278],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000312833,0.0004226185,0.0009858209,0.0004540993,0.0003756306,0.0001083807,0.0008372149,0.001180201,0.9953231],"genre_scores_gemma":[0.0003696946,0.0001801479,0.0003923748,0.0001675064,0.00008812262,0.00005177232,0.0003906035,0.0001688019,0.9981909],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01029289,"threshold_uncertainty_score":0.01468146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007880311094203956,"score_gpt":0.1401165141606752,"score_spread":0.1322362030664712,"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."}}