{"id":"W6968954498","doi":"10.5281/zenodo.8071636","title":"Chrysogaster rondanii Maibach & Goeldlin 1995","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Rivière-du-Loup","funders":"","keywords":"Key (lock); MEDLINE; Complement (music)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001167646,0.0007673761,0.0002026321,0.001028091,0.001008517,0.0003267503,0.0003181924,0.0004626237,0.01697565],"category_scores_gemma":[0.000507417,0.0001693143,0.0001776652,0.0003846542,0.0004126287,0.0006182869,0.0008542455,0.0003634068,0.005483759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008175047,"about_ca_system_score_gemma":0.0003636901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01248307,"about_ca_topic_score_gemma":0.02716725,"domain_scores_codex":[0.9998518,0.00001745936,0.00001197288,0.00005024799,0.00004884976,0.00001967113],"domain_scores_gemma":[0.9998191,0.00003197509,0.00007022298,0.00002042904,0.00002655737,0.00003169034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001689465,0.0001126497,0.05941315,0.001912725,0.0001251045,0.003662397,0.002478583,0.001583583,0.161762,0.01667993,0.04948178,0.7010986],"study_design_scores_gemma":[0.00008617443,0.0007106394,0.4984066,0.001195595,0.0001264927,0.01241933,0.001664372,0.0009578959,0.01503492,0.00274832,0.4665562,0.00009359516],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.504094,0.03015046,0.004597674,0.001584717,0.0008153855,0.0004233736,0.004025547,0.0006307742,0.453678],"genre_scores_gemma":[0.9393386,0.007764134,0.003880954,0.0004064454,0.0001610353,0.0001621053,0.001678241,0.00003531607,0.04657323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01697565,"threshold_uncertainty_score":0.05678916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02396240292417039,"score_gpt":0.19704395559998,"score_spread":0.1730815526758096,"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."}}