{"id":"W2916639019","doi":"10.18174/429545","title":"Innovatie in de land- en tuinbouw 2016","year":2017,"lang":"nl","type":"report","venue":"","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Geography; Environmental science","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009608059,0.0005077292,0.0006846219,0.0003820921,0.0001215505,0.0001345855,0.0008822192,0.0009497962,0.0007066312],"category_scores_gemma":[0.0004140793,0.0005232071,0.0001239756,0.0002289347,0.00005770386,0.0001231411,0.000238411,0.001127249,0.001488763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008778707,"about_ca_system_score_gemma":0.001604727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.013563,"about_ca_topic_score_gemma":0.001419946,"domain_scores_codex":[0.9973933,0.0000306133,0.0009521507,0.0005375862,0.0003978782,0.0006885151],"domain_scores_gemma":[0.9976248,0.0001608988,0.0002729209,0.001550683,0.0002622349,0.0001284988],"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":[0.00003025287,0.0005854203,0.09378862,0.003623748,0.0009544944,0.0003182103,0.001427177,0.3315272,0.001417403,0.006274945,0.3365956,0.2234569],"study_design_scores_gemma":[0.0009138729,0.00005151562,0.0302619,0.001886883,0.0001411448,0.0001031413,0.00002789689,0.2220552,0.0003596365,0.004454358,0.7378698,0.0018746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01226657,0.001831232,0.2092783,0.0007210101,0.002021878,0.001336624,0.0001720372,0.0006154525,0.7717569],"genre_scores_gemma":[0.6288427,0.01540435,0.08335147,0.000178926,0.004228052,0.001359242,0.001020438,0.0006453192,0.2649696],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6165761,"threshold_uncertainty_score":0.9997219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02519359012092104,"score_gpt":0.2913685319038493,"score_spread":0.2661749417829283,"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."}}