{"id":"W4411658974","doi":"10.51847/lafwkoo","title":"10.51847/LAFWkOO","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peat; Agronomy; Environmental science; Productivity; Crop productivity; Crop; Agroforestry; Geography; Biology; Economics; Archaeology","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":[0.0004538839,0.0009870125,0.0005172165,0.001518683,0.001160958,0.002385061,0.0008667149,0.002027442,0.957426],"category_scores_gemma":[0.0007138719,0.0003011198,0.0004517299,0.0009900886,0.0005289975,0.002090006,0.002204877,0.0008441387,0.9574641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007250714,"about_ca_system_score_gemma":0.0006121373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003475835,"about_ca_topic_score_gemma":0.003290145,"domain_scores_codex":[0.9996821,0.0000301313,0.0000226279,0.0001136086,0.00008420951,0.00006729082],"domain_scores_gemma":[0.9994683,0.00009756062,0.00003181303,0.00007411976,0.0001564115,0.0001718375],"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":[0.0001819672,0.0002368866,0.001857189,0.0003165814,0.00001424091,0.0002709653,0.0001411586,0.0002169049,0.003543242,0.003973904,0.2042737,0.7849733],"study_design_scores_gemma":[0.00002534608,0.00003946383,0.002029292,0.0001607194,0.000008699321,0.0003064272,0.0001458796,0.000214753,0.0004198838,0.0006396516,0.995999,0.0000109764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002469515,0.0007488679,0.001864525,0.0009332921,0.0005732976,0.0001094634,0.002179426,0.001698635,0.989423],"genre_scores_gemma":[0.004453391,0.0003030708,0.0008628522,0.0003623721,0.0000632586,0.00005748238,0.00143336,0.0002043603,0.9922599],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04257405,"threshold_uncertainty_score":0.06072664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007620626355701313,"score_gpt":0.1541375018270026,"score_spread":0.1465168754713013,"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."}}