{"id":"W2586246447","doi":"10.18174/390866","title":"Mineralenmanagement onder de loep : Koeien &amp; Kansen-bedrijven vergeleken met andere melkveebedrijve","year":2016,"lang":"nl","type":"report","venue":"","topic":"Energy, Environment, Agriculture Analysis","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Hectare; Agricultural science; Business; Livestock; Agricultural economics; Environmental science; Geography; Agriculture; Forestry; Economics","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":[0.00154406,0.0003147898,0.0002561563,0.001237431,0.002106846,0.006318252,0.0007986478,0.001608256,0.03979526],"category_scores_gemma":[0.002687325,0.0002815108,0.000312114,0.002320917,0.00137524,0.003961348,0.004036549,0.00210943,0.00628646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004540033,"about_ca_system_score_gemma":0.00894057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03328213,"about_ca_topic_score_gemma":0.05342439,"domain_scores_codex":[0.9985256,0.0002687296,0.00008310053,0.0002603042,0.0005680012,0.0002942904],"domain_scores_gemma":[0.9982802,0.0003568615,0.0002701751,0.00006065786,0.0005551167,0.000476979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002935356,0.0004859705,0.02994892,0.003699631,0.00007172345,0.001330153,0.01507493,0.0005467007,0.004974824,0.05868521,0.160296,0.7245924],"study_design_scores_gemma":[0.00001058024,0.00006730895,0.0229276,0.001111329,0.00002896253,0.0003071481,0.01239385,0.0001941915,0.001198896,0.007285247,0.9544371,0.00003776882],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1696367,0.08826587,0.01032009,0.1320722,0.002868194,0.0003538115,0.003083068,0.0005890583,0.5928109],"genre_scores_gemma":[0.5698629,0.06789738,0.01215294,0.01302055,0.0005779358,0.0003077331,0.002263048,0.0003281595,0.3335893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03979526,"threshold_uncertainty_score":0.1331283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276288965546572,"score_gpt":0.2575549050241685,"score_spread":0.2347920153687028,"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."}}