{"id":"W4214489577","doi":"10.21203/rs.3.rs-300416/v2","title":"Managing biological invasions: the cost of inaction","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Carleton University","funders":"","keywords":"Business","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":[0.001917428,0.0007193938,0.0009954846,0.0006882997,0.000721119,0.004165234,0.001139484,0.003073961,0.01481324],"category_scores_gemma":[0.01874992,0.0003515281,0.0004128633,0.0007832797,0.001347347,0.005736975,0.001253029,0.002027907,0.000804836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001417162,"about_ca_system_score_gemma":0.001367681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002725047,"about_ca_topic_score_gemma":0.003253733,"domain_scores_codex":[0.9989426,0.0004855189,0.00003455955,0.0001146622,0.0002433655,0.0001793925],"domain_scores_gemma":[0.9899585,0.007642823,0.0008601107,0.0004516121,0.0006517221,0.0004353129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009667067,0.0003264876,0.01039682,0.0008942742,0.0002011696,0.0007336807,0.0006591305,0.2317152,0.0100251,0.4128167,0.01768113,0.3135835],"study_design_scores_gemma":[0.0001095875,0.0004635543,0.01211311,0.0003028885,0.0002546517,0.001161212,0.001832931,0.3668694,0.003527115,0.5856498,0.02763987,0.00007582442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4480829,0.01494687,0.1670817,0.03535355,0.0008637496,0.0001691347,0.0007056115,0.0003889495,0.3324076],"genre_scores_gemma":[0.974018,0.00223381,0.00883853,0.0004601064,0.0002525314,0.0000568993,0.00005970506,0.0001054475,0.01397505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01481324,"threshold_uncertainty_score":0.04955524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3042386291451835,"score_gpt":0.3740348243027662,"score_spread":0.06979619515758267,"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."}}