{"id":"W4393536965","doi":"10.5281/zenodo.5016638","title":"Data and scripts used in the paper entitled \"Led Color Gradient As A New Screening Tool For Rapid Phenotyping Of Plant Responses To Light Quality\" by Pierre LEJEUNE et al.","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Light effects on plants","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Scripting language; Quality (philosophy); Computer science; Blue light; R package; Computer graphics (images); Artificial intelligence; Materials science; Physics; Optoelectronics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002388605,0.0002075727,0.0003300166,0.00007105091,0.0006364436,0.0006685317,0.001676627,0.0001012051,0.003135891],"category_scores_gemma":[0.003651418,0.0001006633,0.00004593412,0.0004890935,0.00005656338,0.0002190272,0.001585138,0.0002654624,0.0001994094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003406735,"about_ca_system_score_gemma":0.000009808855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003266987,"about_ca_topic_score_gemma":0.0000904234,"domain_scores_codex":[0.996914,0.001236173,0.0003915976,0.0006464322,0.0004720806,0.0003397749],"domain_scores_gemma":[0.998583,0.0004994516,0.0001952985,0.0004081353,0.0001544983,0.0001595893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004103176,0.0001101889,0.000001992861,0.00005882934,0.00003953529,0.00001242022,0.0002243401,3.076635e-7,0.03516068,0.0000319803,0.953127,0.01082246],"study_design_scores_gemma":[0.0004513226,0.000353036,0.0004485784,0.0001717451,0.00002356168,0.00002894662,0.0003528403,0.0000227619,0.0002721191,0.000008358844,0.9976617,0.0002050324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01940962,0.0003390779,0.0000289809,0.0107152,0.0000797679,0.001302719,0.967909,0.00006521909,0.0001503821],"genre_scores_gemma":[0.002007355,0.0003446631,0.00008648725,0.003172752,0.00008378654,4.549278e-7,0.9939943,0.00005604878,0.0002541399],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04453475,"threshold_uncertainty_score":0.9977754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08464421788223744,"score_gpt":0.2944801510784594,"score_spread":0.2098359331962219,"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."}}