{"id":"W7100701827","doi":"","title":"ITS TRANSFER INTO MARINE WATER MICROCOSMS","year":2014,"lang":"en","type":"article","venue":"","topic":"Dutch Social and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technology transfer; Water transfer; Valorisation; Water industry; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001156797,0.0006208751,0.001061526,0.0006273701,0.0009387214,0.002765391,0.001012608,0.0009567127,0.00331807],"category_scores_gemma":[0.001613396,0.0002472746,0.0007900044,0.0008668355,0.0006573586,0.0007438113,0.002123709,0.001508993,0.001938951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373615,"about_ca_system_score_gemma":0.001808717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02019419,"about_ca_topic_score_gemma":0.01504296,"domain_scores_codex":[0.9982681,0.0003493174,0.0001247046,0.0004940612,0.0004908362,0.0002728526],"domain_scores_gemma":[0.9992085,0.0001646455,0.00006885788,0.0001415394,0.0002931967,0.0001233587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000666115,0.0004193019,0.005981204,0.0003387106,0.00004631737,0.0003309305,0.0009660608,0.0003722732,0.9590726,0.0008856779,0.0009827506,0.02993808],"study_design_scores_gemma":[0.0002550356,0.005921453,0.05187113,0.0004127187,0.0002538732,0.0004895359,0.003666738,0.004165337,0.8566053,0.001256518,0.07497406,0.000128282],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494478,0.001709772,0.0103926,0.001383509,0.0008019797,0.001399123,0.006118119,0.0002438821,0.02850321],"genre_scores_gemma":[0.9087495,0.003420823,0.02793822,0.0006835505,0.0002501332,0.001447151,0.006876908,0.0003025951,0.05033121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02019419,"threshold_uncertainty_score":0.04015332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439262174594341,"score_gpt":0.2638044404399598,"score_spread":0.2494118186940164,"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."}}