{"id":"W150673819","doi":"","title":"Copmtes rendus: Demain, le livre","year":2007,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Philosophy; Computer science","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002119316,0.0002515901,0.0002968251,0.0008614973,0.000948205,0.001614626,0.0002533378,0.0002472635,0.01483344],"category_scores_gemma":[0.0002933084,0.0002815975,0.0001610097,0.004547725,0.0009134704,0.00577477,0.00007082325,0.0002470982,0.0004551241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004923799,"about_ca_system_score_gemma":0.0003044791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03586522,"about_ca_topic_score_gemma":0.01676558,"domain_scores_codex":[0.9973702,0.0003965904,0.0005029601,0.0003621661,0.0006871186,0.0006809527],"domain_scores_gemma":[0.998461,0.0006371444,0.0002574901,0.0001487111,0.0002620826,0.0002335748],"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":[0.00001229725,0.000159369,0.002030419,0.0000332872,0.00008604304,0.00001235265,0.02816201,0.000003563148,0.000061263,0.5494468,0.4117168,0.008275742],"study_design_scores_gemma":[0.0004402545,0.0001112839,0.006075448,0.0001009617,0.00004469605,0.000001368768,0.02152579,0.000005806377,0.0006015114,0.04221667,0.9285336,0.0003426749],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01573068,0.3966289,0.005865412,0.0265654,0.004695599,0.0004855122,0.00003383746,0.0002938527,0.5497008],"genre_scores_gemma":[0.4758748,0.3220027,0.003242589,0.005788925,0.002437448,0.00003488998,0.00004887351,0.00005386856,0.1905159],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5168167,"threshold_uncertainty_score":0.9999636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04201634120950928,"score_gpt":0.342268643536306,"score_spread":0.3002523023267967,"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."}}