{"id":"W7018212529","doi":"","title":"A conceptual map of invasion biology: Integrating hypotheses into a consensus network","year":2020,"lang":"en","type":"article","venue":"Journal of Media Literacy Education","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"South African Agency for Science and Technology Advancement; Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia e Innovación; Bundesministerium für Bildung und Forschung; Akademie Věd České Republiky; Ministerio de Ciencia, Innovación y Universidades; Austrian Science Fund; Grantová Agentura České Republiky; Deutsche Forschungsgemeinschaft","keywords":"Field (mathematics); Conceptual framework; Trait; Network theory; Empirical research; Delphi method; Foundation (evidence)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003708773,0.00008043947,0.0002201102,0.00003006732,0.00006978703,0.00000717807,0.0002405706,0.00008113094,0.001671421],"category_scores_gemma":[0.0009152534,0.00006457177,0.00006043141,0.0001291685,0.0003173641,0.0001190915,0.00008773956,0.0003256031,0.00004712301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000465598,"about_ca_system_score_gemma":0.000131386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008486151,"about_ca_topic_score_gemma":0.00004544971,"domain_scores_codex":[0.998884,0.0004117872,0.0004424044,0.00008312573,0.00006670218,0.0001119643],"domain_scores_gemma":[0.9983555,0.0008498509,0.0005402747,0.00009522906,0.00006388988,0.00009525556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006184074,0.0005435499,0.1871272,0.00005803451,0.00007542295,0.00000487636,0.178385,0.0004634075,0.434444,0.002398251,0.1391743,0.05670758],"study_design_scores_gemma":[0.00367974,0.005805692,0.1562139,0.001142139,0.0003048714,0.0003213341,0.05510404,0.0009817876,0.03024252,0.1215105,0.623539,0.001154364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952121,0.0003879639,0.0001039536,0.003200775,0.0007724353,0.00006875143,0.000002093866,0.000003825366,0.0002480764],"genre_scores_gemma":[0.9881706,0.00002335702,0.009652029,0.001682351,0.0004390734,0.000001473275,0.00001416333,0.000004919787,0.00001199751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4843647,"threshold_uncertainty_score":0.9992412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02399344663635182,"score_gpt":0.2815269591912026,"score_spread":0.2575335125548508,"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."}}