{"id":"W1602823940","doi":"10.21083/synergies.v0i1.1036","title":"Intégration des TICE sur le thème du lait en français appliqué à l’agronomie","year":2009,"lang":"fr","type":"article","venue":"Synergies Canada","topic":"French Language Learning Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001032976,0.000264514,0.0003261537,0.00006052035,0.000720281,0.0001350174,0.0004902391,0.0002261386,0.0007786751],"category_scores_gemma":[0.001091882,0.000293569,0.00008852487,0.0005667934,0.0004628375,0.0004819794,0.0000514134,0.0003669316,0.00004851985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051513,"about_ca_system_score_gemma":0.002860473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9891684,"about_ca_topic_score_gemma":0.9918208,"domain_scores_codex":[0.997143,0.0009247565,0.000333029,0.0003887232,0.0005013149,0.0007091425],"domain_scores_gemma":[0.9984311,0.0007495793,0.0001526081,0.0002900029,0.0001321995,0.0002444556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001855182,0.0001040637,0.003624084,0.00007986687,0.00008564116,0.0001442641,0.02265657,0.005031865,0.0009111524,0.08601695,0.09629089,0.7850361],"study_design_scores_gemma":[0.0003353953,0.00009274222,0.05920082,0.000084507,0.00006175891,0.000008174147,0.006458498,0.0008290628,0.0009041613,0.003522233,0.9279745,0.0005281132],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7999535,0.02285473,0.003475698,0.05319308,0.003487642,0.0004275005,0.00003578129,0.0002074552,0.1163647],"genre_scores_gemma":[0.9552184,0.0003480055,0.01043747,0.001149125,0.001031936,0.00001429444,0.00001710209,0.00002558805,0.03175803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8316836,"threshold_uncertainty_score":0.9999517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033632327765536,"score_gpt":0.2311526922071168,"score_spread":0.2208163689294615,"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."}}