{"id":"W4295188526","doi":"","title":"La relation particulière de tutorat dans les espaces-test agricoles","year":2013,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Educational Practices and Policies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Berger (Canada)","funders":"","keywords":"Computer science","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":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00862056,0.0004109412,0.0003694387,0.0001211373,0.001482268,0.001124718,0.001223514,0.0006724997,0.0008471208],"category_scores_gemma":[0.005910123,0.0004374235,0.0002605447,0.0006645235,0.001242793,0.0006583618,0.000558835,0.001143784,0.0004705421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005411103,"about_ca_system_score_gemma":0.001160552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04354637,"about_ca_topic_score_gemma":0.03279908,"domain_scores_codex":[0.9821487,0.01528362,0.0006324158,0.0006704168,0.0006533674,0.0006114961],"domain_scores_gemma":[0.9845098,0.01098029,0.001005938,0.001148669,0.001944351,0.0004109808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004082265,0.0008470017,0.06161689,0.0001125598,0.00006879625,0.000001971081,0.161116,0.0003178601,0.001180127,0.7487315,0.004778546,0.02122471],"study_design_scores_gemma":[0.0002480836,9.167354e-7,0.1459385,0.001505632,0.0001557808,0.00001342881,0.01230592,0.005975461,0.002451953,0.009645951,0.8211249,0.000633567],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5292504,0.002304992,0.005883802,0.1475465,0.0005120014,0.0005325907,0.00006528619,0.0001753731,0.313729],"genre_scores_gemma":[0.8644322,0.005579734,0.01281966,0.0001647072,0.0002116341,0.0001575322,0.0002517122,0.00004611155,0.1163368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8163463,"threshold_uncertainty_score":0.9999122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02501115448432983,"score_gpt":0.283925613471196,"score_spread":0.2589144589868662,"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."}}