{"id":"W7131278852","doi":"10.5281/zenodo.18753416","title":"Precision Agriculture Adoption Among Smallholder Women Farmers in Northern Ghana: A Review of Three-Year Impacts","year":2002,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Agriculture; Precision agriculture; Productivity; Resource (disambiguation); Agricultural productivity; Work (physics)","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":[0.01199209,0.0009335606,0.002925822,0.01010321,0.0007072978,0.002521186,0.001219362,0.001250284,0.002280718],"category_scores_gemma":[0.03032228,0.0008337763,0.003965851,0.01567255,0.001048306,0.002747289,0.001399061,0.001018608,0.0001539811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004622297,"about_ca_system_score_gemma":0.01343237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02039092,"about_ca_topic_score_gemma":0.05313259,"domain_scores_codex":[0.9940822,0.001951281,0.002233397,0.0004267155,0.001058666,0.0002476521],"domain_scores_gemma":[0.9552983,0.03234884,0.008175514,0.0003408487,0.003434915,0.0004016639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004305605,0.0000922885,0.01073915,0.8328767,0.004137084,0.0005340401,0.004090631,0.0001477318,0.0005166625,0.0004114295,0.001776911,0.1442468],"study_design_scores_gemma":[0.0001228432,0.0008522284,0.07340575,0.8487819,0.02216191,0.001047637,0.007205627,0.0001223664,0.0004832826,0.0003657588,0.04537159,0.00007919146],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008364975,0.9900511,0.00009472844,0.0005623272,0.00008615069,0.0001432244,0.0003740331,0.000003859297,0.0003195829],"genre_scores_gemma":[0.04736164,0.9509564,0.0004726236,0.0005020917,0.00004780477,0.0003163307,0.000218241,0.00000433897,0.0001206373],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02039092,"threshold_uncertainty_score":0.06342101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887695471275314,"score_gpt":0.2038403964952355,"score_spread":0.1849634417824823,"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."}}