{"id":"W4406269809","doi":"10.29173/cgs7","title":"“Almost the Same but not Quite”","year":2022,"lang":"en","type":"article","venue":"Critical Gambling Studies","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Gambling Research Institute, University of Calgary; University of Alberta","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001942003,0.0006034013,0.000340646,0.0008303983,0.004133153,0.006358657,0.000842866,0.002240165,0.009109319],"category_scores_gemma":[0.004746403,0.0001938834,0.0004128902,0.0006603115,0.01978893,0.008767315,0.003490473,0.003838607,0.002248042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055131,"about_ca_system_score_gemma":0.0007607185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003255057,"about_ca_topic_score_gemma":0.004474151,"domain_scores_codex":[0.9981109,0.0008982851,0.00004358003,0.0003602658,0.0003679617,0.0002189945],"domain_scores_gemma":[0.9987327,0.0003292822,0.0001463641,0.0002872448,0.0002524258,0.000252035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001590891,0.00009726496,0.006202803,0.000486264,0.0001024019,0.0008191597,0.1078879,0.0001774861,0.003302456,0.6758778,0.09990547,0.104982],"study_design_scores_gemma":[0.00002447661,0.0001455667,0.006271347,0.0009081101,0.00005168355,0.002161943,0.1017542,0.0003810617,0.001326582,0.09851572,0.7883703,0.00008887974],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1415739,0.01283548,0.02780174,0.1432223,0.008547329,0.000133133,0.0004015874,0.0004809164,0.6650038],"genre_scores_gemma":[0.8347943,0.004674673,0.008099475,0.03899841,0.001489117,0.0001059295,0.0001821064,0.0002674415,0.1113886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009109319,"threshold_uncertainty_score":0.03047371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1382019177989372,"score_gpt":0.4248286347909228,"score_spread":0.2866267169919856,"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."}}