{"id":"W2967885548","doi":"10.7202/1068540ar","title":"Vecteurs et produits d’une fertilisation croisée dans une recherche-intervention","year":2020,"lang":"fr","type":"article","venue":"Management international","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fertilisation; Humanities; Philosophy; Biology","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":[],"category_scores_codex":[0.0012707,0.000178146,0.0001505605,0.00004507164,0.000233713,0.0002620518,0.0007400562,0.0001341962,0.0009733117],"category_scores_gemma":[0.0003044716,0.0002011555,0.0001797904,0.001319819,0.0002830564,0.0008034857,0.0001917421,0.0002614416,0.0004659187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005681277,"about_ca_system_score_gemma":0.00005331916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02404043,"about_ca_topic_score_gemma":0.0100268,"domain_scores_codex":[0.997354,0.000379048,0.0003773049,0.0005213986,0.001033055,0.0003352209],"domain_scores_gemma":[0.9992238,0.00008939432,0.0002915392,0.0001250198,0.0001272022,0.0001430733],"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":[0.00009527801,0.0004543432,0.01139304,0.0001189264,0.000255419,0.00004332817,0.06984226,0.0005722062,0.0001079061,0.586812,0.1203762,0.2099291],"study_design_scores_gemma":[0.0008299203,0.0001500687,0.1675638,0.0002274902,0.00008362317,0.000001060336,0.03705716,0.004596082,0.0001299015,0.02065523,0.7683033,0.0004023909],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09446403,0.0005259131,0.01151087,0.5381095,0.00500207,0.0005437158,0.00004679847,0.0001203315,0.3496768],"genre_scores_gemma":[0.868081,0.001213573,0.00177547,0.00356401,0.001138656,0.00005379768,0.00005983649,0.00002152848,0.1240921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.773617,"threshold_uncertainty_score":0.9999399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1685443233623705,"score_gpt":0.3898442264587881,"score_spread":0.2212999030964175,"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."}}