{"id":"W3122978031","doi":"10.20944/preprints201806.0220.v1","title":"Environmental Impacts of Experimental Production of Lactic Acid for Bioplastics from &lt;em&gt;Ulva Spp&lt;/em&gt;.","year":2018,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"European Commission","keywords":"Bioplastic; Raw material; Life-cycle assessment; Lactic acid; Pulp and paper industry; Renewable energy; Lactic acid fermentation; Fermentation; Sustainability; Biomass (ecology); Environmental science; Polylactic acid; Environmental impact assessment; Production (economics); Business; Biotechnology; Food science; Waste management; Biology; Chemistry; Ecology; Engineering; Bacteria","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008718374,0.000591562,0.0009287523,0.0001581139,0.000168267,0.000053252,0.0008809101,0.0004675997,0.003952678],"category_scores_gemma":[0.0004040354,0.0005258439,0.0003269615,0.00007494431,0.0005471361,0.0002589752,0.001515796,0.0002650452,0.0006154965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002116261,"about_ca_system_score_gemma":0.0001725602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002629707,"about_ca_topic_score_gemma":0.00003897259,"domain_scores_codex":[0.9961193,0.0002217397,0.001075583,0.001355203,0.0006951716,0.0005330129],"domain_scores_gemma":[0.9968405,0.0001245366,0.001132119,0.001620828,0.0001036516,0.0001784139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007317988,0.0006082354,0.01026418,0.0003323605,0.0001505495,0.000001137835,0.002664575,0.000005851743,0.9842737,0.00001504066,0.0001549544,0.000797554],"study_design_scores_gemma":[0.0003932929,0.0001704434,0.01840466,0.0003456098,0.000188897,0.000006365143,0.0005192921,0.00006919487,0.9785684,0.000229488,0.0005967861,0.0005075933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854158,0.008369093,0.0001356307,0.00007655895,0.0039294,0.0008934975,0.0008804802,0.00008335086,0.0002162543],"genre_scores_gemma":[0.9957712,0.0002280737,0.00254689,0.00002124256,0.0007135315,0.0002037073,0.00009933013,0.00008194668,0.0003341009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01035544,"threshold_uncertainty_score":0.9997193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06949293076558892,"score_gpt":0.2859268413680772,"score_spread":0.2164339106024883,"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."}}