{"id":"W1563224746","doi":"","title":"A Comparison of the Influencing Factors of Using a Mobile Phone: Atlantic Canada vs. Cameroon Africa","year":2014,"lang":"en","type":"article","venue":"Academy of Information and Management Sciences journal","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile phone; Phone; Quarter (Canadian coin); Business; Population; Marketing; Advertising; Telecommunications; Engineering; Geography","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":[0.0004780284,0.0004367873,0.000249763,0.001927959,0.00284162,0.001549858,0.0004561585,0.0003394322,0.005187527],"category_scores_gemma":[0.001368656,0.0001808057,0.0003808627,0.003307367,0.001118222,0.0005596421,0.0008503959,0.0006145589,0.0002278014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006842494,"about_ca_system_score_gemma":0.009721141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8572091,"about_ca_topic_score_gemma":0.9051182,"domain_scores_codex":[0.9994608,0.00006915472,0.00002382341,0.00004576108,0.00008512555,0.0003154487],"domain_scores_gemma":[0.998989,0.0002108089,0.0001937619,0.00001495065,0.0003248184,0.0002665805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001145845,0.00008161629,0.9548212,0.0001637687,0.00003426061,0.001470233,0.02279108,0.000103581,0.0008050692,0.001467971,0.001424441,0.01672216],"study_design_scores_gemma":[0.000007365064,0.0000514481,0.8313307,0.0003041429,0.00005193579,0.0003821402,0.1617677,0.0003055066,0.0002712431,0.00009480123,0.005405843,0.00002718962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935916,0.0005117666,0.00006227599,0.0004902005,0.00001963953,0.00004046104,0.0003028152,0.000001972673,0.004979184],"genre_scores_gemma":[0.9975337,0.0005903515,0.0001405977,0.00008510057,0.000004801284,0.00002130249,0.0001573846,0.000002200394,0.001464606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1427909,"threshold_uncertainty_score":0.2872636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09928959237076218,"score_gpt":0.3905037172443153,"score_spread":0.2912141248735531,"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."}}