{"id":"W3101717874","doi":"10.1007/s11356-020-11631-0","title":"Academic expertise in assisting private companies in the fields of environment and environmental toxicology: the role of individual expertise","year":2020,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Analyses et Expérimentations pour les Ecosystèmes; Agence Nationale de la Recherche","keywords":"Private sector; Foundation (evidence); Public relations; Engineering ethics; Interface (matter); Business; Table (database); Knowledge management; Sociology; Political science; Engineering; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03004465,0.0002975443,0.00049062,0.003659015,0.004592652,0.006915241,0.002223014,0.002825649,0.01124254],"category_scores_gemma":[0.07005969,0.0004093202,0.0004036223,0.003120189,0.003784151,0.005832172,0.008519673,0.002140123,0.002201485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004098851,"about_ca_system_score_gemma":0.0274889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01175086,"about_ca_topic_score_gemma":0.01698205,"domain_scores_codex":[0.9762236,0.01246839,0.001104616,0.00158994,0.004877977,0.003735356],"domain_scores_gemma":[0.8103762,0.0883983,0.0123895,0.005595203,0.0286097,0.05463105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004689716,0.001279201,0.1532346,0.001919437,0.0004874891,0.001799737,0.01927767,0.00415633,0.001562495,0.03289298,0.167777,0.6151441],"study_design_scores_gemma":[0.0004233658,0.0009883316,0.1861591,0.005242046,0.0005339329,0.004708755,0.1088777,0.01542784,0.002907712,0.2445264,0.429897,0.0003078566],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.324751,0.03519019,0.02915861,0.3795527,0.004363094,0.0002891942,0.0005335441,0.0004657568,0.2256959],"genre_scores_gemma":[0.959766,0.009094605,0.007696359,0.01357007,0.001219918,0.00006511545,0.0001645823,0.00006331298,0.008360038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03004465,"threshold_uncertainty_score":0.1588932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1099404693476745,"score_gpt":0.3261951693696222,"score_spread":0.2162547000219477,"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."}}