{"id":"W2592820330","doi":"10.18174/375485","title":"Toekomstperspectief agrosector Flevoland","year":2016,"lang":"nl","type":"report","venue":"","topic":"Energy, Environment, Agriculture Analysis","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Business; Agricultural economics; Commerce; Economy; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0006301108,0.001783107,0.002245836,0.0004725337,0.0003698027,0.000248857,0.001095449,0.002008145,0.1033104],"category_scores_gemma":[0.0002811818,0.001082144,0.001893168,0.0006813148,0.0002861915,0.0003238588,0.0005042978,0.0008767534,0.01504321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002754029,"about_ca_system_score_gemma":0.0003685869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01633843,"about_ca_topic_score_gemma":0.01230414,"domain_scores_codex":[0.9915357,0.0003039622,0.001693332,0.002539506,0.002387456,0.001540078],"domain_scores_gemma":[0.994816,0.0002926332,0.001239255,0.002577267,0.0003554767,0.0007193857],"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":[0.0001026184,0.001228535,0.007490664,0.0004195179,0.01246499,0.0008400081,0.0003503439,0.001633376,0.01984559,0.0138405,0.9178202,0.02396372],"study_design_scores_gemma":[0.000785822,0.0001738188,0.008042269,0.0002799331,0.001825113,0.0001422939,0.0002607616,0.00002735533,0.002501539,0.0002861897,0.9836516,0.002023311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00393638,0.007401962,0.0008784918,0.00101027,0.002676504,0.0003711541,0.0001815387,0.000389276,0.9831544],"genre_scores_gemma":[0.06426552,0.03601095,0.0003918828,0.0003370005,0.00804563,0.0001106033,0.0005567534,0.0002852448,0.8899964],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09315801,"threshold_uncertainty_score":0.9994915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309010156210537,"score_gpt":0.2314928453987204,"score_spread":0.2184027438366151,"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."}}