{"id":"W4238974667","doi":"10.22215/isema/","title":"ISEMA: Perspectives on Innovation, Science and Environment","year":2019,"lang":"en","type":"paratext","venue":"ISEMA Perspectives on Innovation Science & Environment","topic":"Diverse Education and Engineering Focus","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Data science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001567247,0.0008946761,0.0004170092,0.001554496,0.002255803,0.01033785,0.0009706222,0.004446022,0.08764491],"category_scores_gemma":[0.001976506,0.0002037595,0.0002837654,0.002364481,0.001793929,0.006842044,0.003271518,0.004699012,0.01357964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004158725,"about_ca_system_score_gemma":0.003704016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004004728,"about_ca_topic_score_gemma":0.007914824,"domain_scores_codex":[0.9993562,0.0001489567,0.00002862646,0.00007485288,0.0002419596,0.0001494723],"domain_scores_gemma":[0.9992938,0.0001994011,0.00005669242,0.00005740497,0.0001864332,0.0002062709],"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":[0.00003913348,0.00003377898,0.00007958865,0.0002280922,0.000003522026,0.0001198175,0.0009540843,0.0001874082,0.0006516495,0.6314231,0.315219,0.0510607],"study_design_scores_gemma":[0.000005298006,0.0000118058,0.0003660208,0.0001428137,0.000002148368,0.00009204912,0.000264951,0.0001379458,0.0001642964,0.02863487,0.9701728,0.000004959551],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002482045,0.041997,0.001470296,0.02725414,0.00740457,0.00001759196,0.0002644461,0.0001085952,0.9190012],"genre_scores_gemma":[0.0385158,0.01326295,0.001282867,0.001183318,0.003526874,0.00006703262,0.0003007155,0.0001632316,0.9416972],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08764491,"threshold_uncertainty_score":0.2932014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495142985315204,"score_gpt":0.3046242045784586,"score_spread":0.2796727747253065,"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."}}