{"id":"W7110533566","doi":"","title":"How ‘Regenomics’ can help farmers accelerate the transition to regenerative agriculture","year":2025,"lang":"en","type":"other","venue":"Socio-Environmental Systems Modeling","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Agriculture; Production (economics); Agricultural productivity; Transition (genetics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002799405,0.0005722062,0.0001822696,0.0005820933,0.001263833,0.003333193,0.001370766,0.002944706,0.08949203],"category_scores_gemma":[0.004904796,0.0002070377,0.0005215398,0.000753908,0.001374093,0.004528154,0.003226449,0.002337948,0.01054703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003015761,"about_ca_system_score_gemma":0.00480415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02165623,"about_ca_topic_score_gemma":0.06043026,"domain_scores_codex":[0.9992216,0.0003673967,0.00001488142,0.0000520047,0.0002422629,0.0001018608],"domain_scores_gemma":[0.9982789,0.0008386911,0.00006962359,0.0001606788,0.000420938,0.0002311966],"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":[0.00003698265,0.0001018326,0.0007973544,0.0002014367,0.00001241845,0.000165469,0.0007880657,0.008691807,0.0007707946,0.3381869,0.5318707,0.1183763],"study_design_scores_gemma":[0.00001189781,0.000009110355,0.00039046,0.0001224757,0.000004712384,0.00003446024,0.0004332181,0.003852863,0.0003975077,0.1168363,0.8778879,0.00001907072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003560483,0.001181562,0.04218609,0.09566437,0.00113468,0.0001077909,0.00246533,0.001984948,0.8517148],"genre_scores_gemma":[0.12728,0.005394616,0.1015596,0.02836371,0.0005635035,0.0006509874,0.003408473,0.002962631,0.7298164],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08949203,"threshold_uncertainty_score":0.2993807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547985241431117,"score_gpt":0.2067030971979259,"score_spread":0.1912232447836147,"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."}}