{"id":"W4416684759","doi":"10.62896/cplr.1.1.11","title":"Green Biomaterials from plants: Harnessing Nature for Sustainable Solutions","year":2024,"lang":"","type":"article","venue":"Current Pharmaceutical Letters And Reviews","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Harm; Work (physics); Sustainable development; State (computer science)","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":[0.0004464554,0.0003503182,0.0003390115,0.0006217888,0.0004721934,0.001394945,0.0002868259,0.0009246811,0.003022108],"category_scores_gemma":[0.0003006866,0.0001866535,0.0003684317,0.0004580327,0.001026377,0.00177905,0.0007437486,0.001615036,0.001088486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007744377,"about_ca_system_score_gemma":0.0006952821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003077789,"about_ca_topic_score_gemma":0.0009264361,"domain_scores_codex":[0.9997645,0.00004926626,0.00001154575,0.00002672423,0.0001194936,0.00002842478],"domain_scores_gemma":[0.9998348,0.00008308848,0.00002145078,0.00001208918,0.00003154938,0.00001697168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001082438,0.000134749,0.0003962252,0.009703003,0.00005822552,0.001174737,0.00114081,0.00126457,0.308523,0.1745561,0.02494281,0.4779974],"study_design_scores_gemma":[0.000005975352,0.0001372363,0.0003924301,0.0007548513,0.00002014431,0.0006142191,0.0003825413,0.0002977279,0.03309407,0.01998841,0.944293,0.00001936624],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02007081,0.8686673,0.02365126,0.01708405,0.003015321,0.00006181004,0.0001288161,0.0001792747,0.06714137],"genre_scores_gemma":[0.1125314,0.8372938,0.01732563,0.004438411,0.0009585919,0.00007955525,0.0001188816,0.00008580917,0.02716787],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003022108,"threshold_uncertainty_score":0.01010996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05818703048907382,"score_gpt":0.3776139236613638,"score_spread":0.3194268931722899,"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."}}