{"id":"W3129601721","doi":"10.18174/532843","title":"Impact Assessment Framework with Specific Protection Goals (SPGs) for Non-Target Terrestrial Plants (NTTPs)","year":2020,"lang":"en","type":"report","venue":"","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Ecosystem services; Business; Environmental science; Weed; Ecosystem; Terrestrial ecosystem; Environmental resource management; Traceability; Crop protection; Scenario analysis; Weed control; Environmental economics; Agroforestry; Computer science; Ecology; Biology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005508366,0.0006978663,0.00114424,0.00002786839,0.0002993491,0.0003171934,0.0005976866,0.001048758,0.002288972],"category_scores_gemma":[0.0003702258,0.0001927223,0.0006324547,0.0002761342,0.000128802,0.0001220706,0.0001249813,0.0009602082,0.00005665885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003908572,"about_ca_system_score_gemma":0.0002453593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004227096,"about_ca_topic_score_gemma":0.0003312734,"domain_scores_codex":[0.9964638,0.0001190361,0.000672538,0.001077966,0.0009654532,0.000701164],"domain_scores_gemma":[0.9978576,0.0007059598,0.0006745829,0.0001551745,0.0003034504,0.0003032473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01282184,0.001732325,0.03989489,0.0003764377,0.003080366,0.000252817,0.0001159368,0.00007610997,0.2044863,0.0005254046,0.3680176,0.3686199],"study_design_scores_gemma":[0.001222444,0.01314845,0.3784351,0.0004753515,0.0001041806,0.00006333328,0.0002131895,0.00007552234,0.001536058,0.002985099,0.6000702,0.001671046],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6181781,0.002223034,0.02808911,0.02747633,0.01213513,0.0443869,0.01049184,0.002647405,0.2543721],"genre_scores_gemma":[0.9765295,0.0008028859,0.005953572,0.0002689353,0.01223187,0.000799822,0.001762355,0.0000109648,0.001640053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3669489,"threshold_uncertainty_score":0.9986231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09024009329303272,"score_gpt":0.3148543891767255,"score_spread":0.2246142958836927,"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."}}