{"id":"W7006379106","doi":"","title":"Toimintatutkimus tuotteen valmistajan etsimisestä mikroyritykselle : case: Mer.Mer Clothing","year":2023,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clothing; Order (exchange); Clothing industry; Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003610931,0.0006177831,0.0003952849,0.0006283718,0.005121479,0.001923421,0.0006795404,0.005181497,0.01581196],"category_scores_gemma":[0.002155485,0.0003964824,0.0005454422,0.0006377925,0.001987923,0.002650792,0.001639929,0.006587528,0.002202006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003714151,"about_ca_system_score_gemma":0.00183706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019413,"about_ca_topic_score_gemma":0.02124349,"domain_scores_codex":[0.9992965,0.0001439805,0.00003545522,0.0001368099,0.0001020114,0.0002852007],"domain_scores_gemma":[0.9993595,0.0001590473,0.0001004336,0.00003386001,0.00005123746,0.0002958401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001384366,0.0002452157,0.01744313,0.0001720101,0.00002719548,0.8738967,0.007129449,0.0002513115,0.001458463,0.02266641,0.05961991,0.01695167],"study_design_scores_gemma":[0.00002717687,0.0001239444,0.009533601,0.0003444405,0.00002725011,0.886586,0.01113378,0.0007305494,0.0009037045,0.005569798,0.08496833,0.00005148429],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4068934,0.01246189,0.004139844,0.2418049,0.003838633,0.0002169304,0.0002816487,0.0001711375,0.3301916],"genre_scores_gemma":[0.8640292,0.004866907,0.001807703,0.03756503,0.001547377,0.0000734717,0.0001224363,0.000118846,0.0898691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01581196,"threshold_uncertainty_score":0.05289626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03643094735656338,"score_gpt":0.2922771322883328,"score_spread":0.2558461849317694,"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."}}