{"id":"W2620175025","doi":"10.4000/vertigo.18420","title":"Multiplication végétative de ximenia americana l. par drageonnage","year":2017,"lang":"fr","type":"article","venue":"VertigO","topic":"African Botany and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Forestry; Geography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.000182288,0.0001884166,0.0002483816,0.00000809439,0.002047037,0.0001128871,0.0004960985,0.0001494068,0.0006807333],"category_scores_gemma":[0.0003884722,0.00009568605,0.0001121812,0.00009350355,0.001150645,0.0002596029,0.0002177241,0.0001571281,0.0005414141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009159897,"about_ca_system_score_gemma":0.00001813164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00139584,"about_ca_topic_score_gemma":0.001355929,"domain_scores_codex":[0.9986745,0.000121765,0.0001860059,0.0003680912,0.0001074256,0.0005421813],"domain_scores_gemma":[0.9991301,0.0002048894,0.0002590598,0.0001828626,0.0000675924,0.0001555007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005306709,0.0002229131,0.8837559,0.00001521097,0.0001382281,0.0000359106,0.001756845,0.000006204965,0.03782642,0.005492406,0.01495049,0.05574642],"study_design_scores_gemma":[0.0001590389,0.0002011736,0.905644,0.00002073098,0.00005106418,0.000004270312,0.001140612,0.0003430707,0.0009867058,0.003400706,0.08783059,0.000218066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622191,0.001834411,0.0001253164,0.02697628,0.0005790989,0.0002009062,0.0000632689,0.00004603288,0.007955596],"genre_scores_gemma":[0.9863734,0.0005129285,0.000769907,0.0006938817,0.0004374481,0.00004180417,0.000006464114,0.000002021654,0.01116215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0728801,"threshold_uncertainty_score":0.9992521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02355580636361322,"score_gpt":0.2556091337161013,"score_spread":0.2320533273524881,"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."}}