{"id":"W4293237120","doi":"","title":"Water activity measurement on seed or pollen lots","year":2008,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec)","funders":"","keywords":"Pollen; Computer science; Botany; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002863889,0.0003745403,0.0004242102,0.00004872991,0.0005798525,0.0001428616,0.001190418,0.0005475487,0.0004556189],"category_scores_gemma":[0.0005556741,0.0001496396,0.0002383683,0.0001922257,0.0002109582,0.00007158765,0.0009632495,0.0007594146,0.0002002556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001440417,"about_ca_system_score_gemma":0.00005919095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001293953,"about_ca_topic_score_gemma":0.009408475,"domain_scores_codex":[0.9953451,0.002467017,0.00033929,0.000792777,0.0005649119,0.0004908913],"domain_scores_gemma":[0.9973084,0.0005486623,0.0002493667,0.0006967516,0.00105112,0.0001457348],"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":[0.0005572058,0.003903847,0.005917283,0.0001550985,0.0003954932,0.00007162207,0.003941136,0.00003499405,0.5823969,0.006314734,0.003759251,0.3925524],"study_design_scores_gemma":[0.001481313,0.00001152571,0.1383789,0.001915218,0.0001241441,0.00004150497,0.0001910131,0.001473061,0.7950268,0.003553197,0.05619819,0.001605078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494544,0.0001859786,0.0003374227,0.03023231,0.0001759041,0.0005910294,0.00007480545,0.0005754306,0.01837268],"genre_scores_gemma":[0.9943938,0.000663639,0.0003266766,0.0002068115,0.00003807958,0.00009868385,0.0001531313,0.000006107576,0.004113023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3909473,"threshold_uncertainty_score":0.6102127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03549278459853739,"score_gpt":0.2150687549052971,"score_spread":0.1795759703067597,"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."}}