{"id":"W2969922023","doi":"","title":"2019 Voeux de Gisèle Gall","year":2019,"lang":"nl","type":"article","venue":"Revue CMC","topic":"Social Policies and Family","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Gall; Geography; Biology; Ecology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005734806,0.0001756663,0.0003307561,0.00004379806,0.0003225983,0.0001345582,0.0004970058,0.0003362253,0.002122145],"category_scores_gemma":[0.000158152,0.0001946011,0.0002419513,0.0004032629,0.000209548,0.0001483039,0.0001043615,0.0002675165,0.0179288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002747502,"about_ca_system_score_gemma":0.0003316453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01496246,"about_ca_topic_score_gemma":0.0008402489,"domain_scores_codex":[0.9982067,0.0001796742,0.0002526889,0.0003125891,0.0002676764,0.000780687],"domain_scores_gemma":[0.9989718,0.0001982371,0.0001518319,0.0003529523,0.0000802437,0.0002449939],"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":[0.00003270337,0.0002011013,0.06563773,0.0002300765,0.0001076662,0.0000191483,0.05542738,0.00005913714,0.001384409,0.08982731,0.7756449,0.01142844],"study_design_scores_gemma":[0.0003301873,0.00009538178,0.04686147,0.0001232239,0.00004774064,0.000002150724,0.008188457,0.0001391579,0.0000246226,0.004147201,0.9396784,0.0003620631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4202862,0.005553756,0.00001819121,0.01320521,0.004042241,0.0005552954,0.00004893411,0.0001047227,0.5561855],"genre_scores_gemma":[0.7228041,0.004231633,0.00008529388,0.002892521,0.003419076,0.000006993321,0.000006715628,0.00003709566,0.2665165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.302518,"threshold_uncertainty_score":0.99879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020225925960642,"score_gpt":0.2890351752613626,"score_spread":0.2688092493007206,"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."}}