{"id":"W2363671592","doi":"","title":"Effects of Magnetic Treatment on Rice Seed Vitality and Photosynthetic Indexes","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Magnetic and Electromagnetic Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Vitality; Photosynthesis; Horticulture; Agronomy; Botany; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007643738,0.000203082,0.0002217024,0.00004284036,0.00004315738,0.0000114362,0.00008702136,0.0001247718,0.000009177395],"category_scores_gemma":[0.00006296317,0.0001692965,0.00006840487,0.00007584266,0.00008114812,0.00000158836,0.00002130988,0.00004977347,0.000005847387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000121957,"about_ca_system_score_gemma":0.00002925861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004873854,"about_ca_topic_score_gemma":0.000006541024,"domain_scores_codex":[0.9990653,0.000088581,0.0001554874,0.0003244852,0.0001154806,0.0002506248],"domain_scores_gemma":[0.9994959,0.00005397091,0.00005815717,0.0002700812,0.00002629813,0.00009559925],"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":[0.0002051865,0.0002599734,0.0007826514,0.00005700626,0.00001975651,0.000005924022,0.00005842448,0.000001923956,0.9917835,0.00006266632,0.00003525868,0.00672774],"study_design_scores_gemma":[0.001224013,0.01166999,0.2720664,0.00002211067,0.00005710206,0.00001142209,0.000007538274,0.00002622231,0.7142341,0.0002019997,0.0003277109,0.0001514371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938308,0.001986942,0.00002916306,0.000129841,0.00004703644,0.0004283823,0.00000526724,0.00001488048,0.003527679],"genre_scores_gemma":[0.9981507,0.0002629937,0.0001547947,0.000268536,0.00005484397,0.0000197197,0.00001559718,0.00001209584,0.001060716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2775494,"threshold_uncertainty_score":0.690371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002700639256427239,"score_gpt":0.2087777521115332,"score_spread":0.206077112855106,"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."}}