{"id":"W2348319642","doi":"","title":"Dormancy Characteristics and Breaking Methods of Iris L. Seeds","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Flowering Plant Growth and Cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Dormancy; IRIS (biosensor); Horticulture; Seed dormancy; Biology; Computer science; Germination; Artificial intelligence","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":[0.00009834598,0.00004597956,0.00007751626,0.000005610209,0.00003682098,0.000006250735,0.00004850321,0.0000365396,0.00005345062],"category_scores_gemma":[0.00003241127,0.00001710061,0.00001690378,0.00008500983,0.00002053114,0.00004817408,0.00002064601,0.00003084885,0.000002858999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001817941,"about_ca_system_score_gemma":0.000001117841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001437707,"about_ca_topic_score_gemma":0.000009295994,"domain_scores_codex":[0.9996874,0.00002220562,0.00009544892,0.00007464601,0.00004093064,0.00007931002],"domain_scores_gemma":[0.999828,0.00005117527,0.00005218887,0.00001743756,0.00002268463,0.00002844918],"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":[0.00001844913,0.00001696098,0.1951489,0.000008445468,0.00000485848,6.576752e-7,0.0002503234,1.035879e-8,0.7331217,0.000140844,0.000008465657,0.07128039],"study_design_scores_gemma":[0.00003432975,0.00005603102,0.9833373,0.00001182296,0.000004941513,0.000003135307,0.00009264822,0.00002953083,0.01559029,0.000115876,0.0006740804,0.00004994425],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983876,0.0000267043,0.00005858681,0.00002478798,0.00006440347,0.00003690811,0.00001064363,0.00002152578,0.00136888],"genre_scores_gemma":[0.9975508,0.00001439366,0.002284513,0.00003356304,0.00004263859,0.000001346139,0.00001683143,2.91652e-7,0.00005561174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7881885,"threshold_uncertainty_score":0.06973427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03285544494709247,"score_gpt":0.2415400451949443,"score_spread":0.2086846002478518,"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."}}