{"id":"W2990069109","doi":"","title":": Démonstration","year":2019,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Cognitive and psychological constructs research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Berger (Canada)","funders":"","keywords":"Humanities; Art; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001543407,0.001020992,0.0005485459,0.0004777469,0.0009574458,0.002275228,0.002270844,0.002490415,0.1595986],"category_scores_gemma":[0.007262853,0.0004644429,0.0006625456,0.000388131,0.0007869198,0.002773982,0.003715718,0.001617464,0.05265514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005981127,"about_ca_system_score_gemma":0.001020636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004681614,"about_ca_topic_score_gemma":0.00344447,"domain_scores_codex":[0.9987099,0.0003426263,0.00008684341,0.0002542332,0.0004501707,0.0001562706],"domain_scores_gemma":[0.9983478,0.0006815811,0.0000594637,0.0003256589,0.0003343193,0.0002511586],"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":[0.002002836,0.0011157,0.003361481,0.003690523,0.00009728788,0.003368333,0.004465963,0.009800262,0.05188128,0.0713532,0.4695329,0.3793303],"study_design_scores_gemma":[0.0004097359,0.0004273485,0.001704504,0.0005283789,0.00003797821,0.001447067,0.0008006199,0.0266744,0.01395853,0.01643915,0.9374813,0.00009102718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04352347,0.001871011,0.5226918,0.008046499,0.003200623,0.002934253,0.01362439,0.1134738,0.2906342],"genre_scores_gemma":[0.2978137,0.00189536,0.4251178,0.003048648,0.0004290129,0.003301097,0.01681833,0.01223153,0.2393446],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8404014,"threshold_uncertainty_score":0.5339105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04505938975657277,"score_gpt":0.3260166080070811,"score_spread":0.2809572182505083,"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."}}