{"id":"W6964763211","doi":"10.25647/liepp.method.12","title":"Case studies (LIEPP Fiches méthodologiques / LIEPP Methods briefs, n°12)","year":2023,"lang":"en","type":"other","venue":"Direction des ressources et de l'information scientifique","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Agence Nationale de la Recherche","keywords":"Variety (cybernetics); Identification (biology); Subject (documents); Order (exchange)","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":[],"consensus_categories":[],"category_scores_codex":[0.01542838,0.001017777,0.0005984369,0.005985055,0.002825605,0.00625725,0.001625546,0.002212083,0.0711446],"category_scores_gemma":[0.02986251,0.0008232304,0.0005080282,0.008753994,0.004446969,0.005417234,0.003665646,0.002166335,0.01915789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004078419,"about_ca_system_score_gemma":0.005883517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005246775,"about_ca_topic_score_gemma":0.007255153,"domain_scores_codex":[0.9857109,0.009969839,0.0009616897,0.0006714092,0.002391496,0.0002946287],"domain_scores_gemma":[0.9758505,0.01843922,0.001127427,0.001608098,0.002545109,0.0004296363],"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":[0.00003680222,0.0000697302,0.0002778851,0.001628186,0.00001002376,0.0001752972,0.005770369,0.0004061658,0.0002747097,0.4609101,0.3221416,0.2082992],"study_design_scores_gemma":[0.000009022477,0.00002031611,0.0005100238,0.001838545,0.000004346241,0.0001790554,0.001476524,0.0001926859,0.0002080554,0.07848251,0.9170617,0.00001725629],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002676338,0.03135185,0.1736091,0.0184514,0.003113423,0.004933095,0.0053457,0.001000994,0.759518],"genre_scores_gemma":[0.06268442,0.05851734,0.4287,0.007344579,0.002514899,0.02048485,0.007119516,0.001824884,0.4108096],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0711446,"threshold_uncertainty_score":0.2380024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1563127446282363,"score_gpt":0.4347257642149853,"score_spread":0.278413019586749,"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."}}